Coursera Machine Learning Week 2 Octave Quiz Answers





My background. Back-propagation algorithm for neural networks to the task of hand-written digit recognition. The top right is quadrant 1, top left is quadrant 2, bottom left is quadrant 3, and bottom right is quadrant 4. Catch up with series by starting with Machine Learning Andrew Ng week 1. Currently there are 247,687 discussion threads containing 4,304,771 posts. Week 1 Introduction & Linear Regression with One Variable. Registered Air Mail (2-3 weeks on average, comes with online tracking, and insurance). Quiz 1, try 1. None of the selection option of MCQ is showing as correct answer. Projects are some of the best investments of your time. Polynomial regression in machine learning coursera. MATLAB is a programming language developed by MathWorks. Machine Learning highly depends on you should be ready to spend 5-7 hours/week to get the most out of this course. Hi @Asif504, There is a pinned thread about Week 2 which contains a lot of information about using MATLAB or Octave in this course (Machine Learning). This publication is intended as a learning resource, all answers are documented and explained. In the Grant access in offline mode window, select the Access to a BitLocker-protected system drive tab. This is exercise 1. pants during the first week (i. If you are interested in becoming an AI expert, you fortunately do not need to pursue a bachelor, master, or PhD in AI to learn what terms like Intelligent Agents, Machine Learning, and Neural Networks mean. My background. There were two basic tutorials on Linear Algebra and Octave. Triple GM Abhishek Thakur Answers Qs from the Kaggle Community. EliteTrader. Start with two meals at a time. None of the selection option of MCQ is showing as correct answer. The fact that clustering and dimensionality reduction can be used for exploratory. Machine learning course stanford university financial aid 2 days back i have requested for financial aid for the machine learning course by stanford unversity. And, this issue is rarely discussed in machine learning courses. com/tag/download-mediachance-dynamic-auto-painter-pro-4-1. student records clerk interview questions and answers, See Your Ad Here General Aviation Job Interview Questions. Kaggle is the best platform for learning by doing. The related field of machine learning offers similar potential. Brief Information Name : Machine Learning Foundations: A Case Study Approach Lecturer : Carlos Guestrin and Emily Fox Duration: 2015-10-22 ~ 11-02 (6 weeks) (~11-09) Course : The 1st (1/6) course of Machine Learning Specialization in Coursera Syllabus Record Certificate Learning outcome Identify potential applications of machine learning in practice. Jun 8, 2019 - Explore kautsarina's board "Recommender System" on Pinterest. NET - The Ultimate Guide To VB. Go to your 'C:' prompt 2. The assignment for week 2 is kinda tough if you have not used R before. / v % element-wise reciprocal (1/x) — обратная величина log(v) % element-wise logarithm exp(v) % element-wise base E exponentiation abs(v) % element-wise absolute value -v % element-wise. I wrote about the course extensively yet informally, which include two "Quick Impressions" before and after I finished Course 1 to 3 of the specialization. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. ’ for the decimal point, not a ‘,’. For more information refer to the documentation that can be. Coursera Intro To Finance Final Exam Answers >> DOWNLOAD 9d97204299 operations,management,final,exam,answers,download,or,. Large Scale Machine Learning. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. There is no doubt that machine learning is a hot topic in 2014. Quizzes are taken at the end of each lecture section and are in the multiple-choice question type format. This course is awesome, I was working on machine learning systems when I took it (The original offering) mostly as a fun side project but I was very surprised how excellent it was. This material probably belongs instead in the Pratical Machine Learning course, but something had to be cut to limit that course to four weeks (cf. If you watch the videos once, you will be able to quickly answer all the quiz questions. com on the 14th Oct 2018. Warning: include(/home/content/64/10205264/html/palermosicily. theta = theta - alpha / m * ((X * theta - y)'* X)';//this is the answerkey provided. This week, I trained a neural network to recognize handwritten numerals using a data set provided in the Coursera Machine Learning course materials. Tags: Claudia Perlich , New York City , NY , PAW , Predictive Analytics World. Versione 1. Photo @JPKNews with @xman_1664. I cannot agree more!) Supervised learning is learning problems where we are given the "right answers", and asked to give the "map" from input values to prediction. Linear Regression Review - Free download as PDF File (. It’s my first mooc so I can’t compare with another one but one thing is sure: this course is very interesting for someone who likes algorithms. 8 years after publication, Andrew Ng's course is still ranked as one of the top machine learning courses. Why? See Machine Learning, Nanodegrees, and Bitcoin. NET - The Ultimate Guide To VB. LESSONS LEARNED FROM QUIZ: Expect to read in data (from txt, csv, whatever) TWICE: 1. This course is awesome, I was working on machine learning systems when I took it (The original offering) mostly as a fun side project but I was very surprised how excellent it was. You will learn about Algorithms ,Graphical Models, SVMs and Neural Networks with good understanding. In my opinion, this week of the course was the most useful and important one, mainly because the kind of knowledge provided is not easily found on textbooks. This publication is intended as a learning resource, all answers are documented and explained. over 2 years ago. We're working on linear regression and right now I'm dealing with coding the cost function. Machine Learning (by Andrew NG) @ COURSERA Machine Learning Estimated efforts: 80 to 130 hours Certificate for $49 Tool used: Octave Link to course. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. As one of 34 U. Over 130,000 Results What an interesting experience - Claude Monet's House and www. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to. It is difficult, however, to answer what machine learning is. Programming assignment is useful. I would recommend you to do it in octave or in matlab. Assigment_8. Koller did a great job communicating difficult material in an accessible manner. In its later forms, it is also called a gramophone (as a • Turntables And much more music, audio, studio and stage equipment. Photo @JPKNews with @xman_1664. Machine learning is the science of getting computers to act without being explicitly programmed. Ask Question Asked 1 year, 8 months ago. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). over 2 years ago. Programming assignments require you to write and run a computer program to solve a problem. This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques. Quiz 1, try 1. ) Hinge itself is fine - what I didn't think to check beforehand was that "Stainless Steel 304" is basically non-magnetic (in practice: "using those. Installing Octave I use […]. This is Quiz 2 from the. Read stories and highlights from Coursera learners who completed Machine Learning and wanted to share their experience. Coursera Basic Statistics Final Exam Answers - Blogger A Coursera Specialization is a Page 5/22. There are only closed-ended questions. The activities of the Deep Space Network in support of radio and radar astronomy. Studyhelp support students in colleges and universities to get better grades. 12/19/2016 Week 6 Quiz | Coursera 1/5 Week 6 Quiz 10 questions 1. student records clerk interview questions and answers, See Your Ad Here General Aviation Job Interview Questions. com and is provided for information purposes only. It’s a broad field, but we’ll look at a few techniques both simple and not simple. 1980-01-01. Some other related conferences include UAI, AAAI, IJCAI. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Lambda School and its ilk have excited plenty of investors. Note: enter your answer in American decimal format (e. The video lectures also did not prepare you for it. Posted: (2 days ago) Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. 0 - 20160826 aggiunta funzione Esamina HTML, storico ricerche, Permalink e nuovo conteggio delle parole in pagina. I think the best way to understand machine learning is taking MOOCs by Andrew Ng in Stanford university at Coursera. com - the world's first Shabbot compliant search engine. lace front wigs In 13 playoff games, Varejo averaged 4. This post contains links to a bunch of code that I have written to complete Andrew Ng's famous machine learning course which includes several interesting machine learning problems that needed to be solved using the Octave / Matlab programming language. Contribute to tuanavu/coursera-stanford development by creating an account on GitHub. 1 floor rocker gaming nature republic review hand cream corelle splendor kicker kx200. From April 13th-19th, over 250 hospitals, clinics, and medical offices around the world were scheduled to provide free screening and education. 第二講:Learning to. CSE Notes Learn Everything You Can, Any time You can, From Anyone You Can ! CP5161 DATA STRUCTURES LABORATORY LAB MANUAL CONTENTS S. I was very comfortable for weeks 1 ,2 and 3. D from other institutes Number 101 (out of which 8 are from foreign universities) 9 2 25 29 Infrastructure & Learning Resources The University is endowed with excellent physical infrastructure facilities Separate hostels for boys (5) and girls (4) Medical facilities with 4 ambulances, in-house clinic having resident Doctor Libraries (107761. txt) or read online for free. Octave, a mental health studio founded by Sandeep Acharya, One Medical’s former head of strategy, is launching today to help with just that. kaleko/CourseraML - this github repo has the solutions to all the exercises according to the Coursera course. Color by each of the variables in the data set (you may find the cut2() function in the Hmisc package useful for turning continuous covariates into factors). The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class. I was very comfortable for weeks 1 ,2 and 3. Question - 1. \u003cbr\u003e\u003cbr\u003e Nuestro modelo Alulite De Lujo BodyChoice, cuenta con un colchón de 5. The labels %are in the range 1. Join Now to Become a Member. Factoring problems and answers free worksheet ideas 2 web page polynomials quiz to math worksheets go 5th grade plex plane algebra ii. 1248 291 0 560 2014-06-11T16:07:35. Air Mail (generally takes around 2-3 weeks to reach most parts of the world, tracking/insurance is not available). The course is broken out over 11 weeks which leaves no time for an easy week. uk › … › Claude Monet's House and Gardens Claude Monet's House and Gardens. Photo @JPKNews with @xman_1664. I thought, now that I am starting to get away from Matlab and use Python more, I should re-do the exercises in Python. NASA Technical Reports Server (NTRS) Taylor, R. Linear Regression Review - Free download as PDF File (. tripadvisor. Coursera Week 1. 00 This was the definition given by Arthur Samuel (who had written the famous checkers playing, learning program). com Next Steps: Play with hyperparameters (batch size, learning rate, kernel size, number of iterations) to see how it affects model performance : Upin ipin siamang tunggal. This ZIP file contains the instructions in a PDF and the starter code. The topics covered are shown below, although for a more detailed summary see lecture 19. Versione 1. 12/19/2016 Week 6 Quiz | Coursera 1/5 Week 6 Quiz 10 questions 1. Make a plot of the outcome (CompressiveStrength) versus the index of the samples. Coursera Intro To Finance Final Exam Answers >> DOWNLOAD 9d97204299 operations,management,final,exam,answers,download,or,. Coursera's machine learning course week three (logistic regression) 27 Jul 2015. Suppose m=4 students have taken some class, and the class had a midterm exam and a final exam. 3/30/2019 AI For Everyone - Home | Coursera For Everyone - Home _ Coursera. Octaveの使い方を学ぶ。 Review Quiz. While most job applicants are well aware of the need for well prepared resumes and cover letter, many do not realize the need to spend an equal amount of time mastering the interview skills necessary to be effective in today's aviation market. Here, I am sharing my solutions for the weekly assignments throughout the course. Machine learning is an "iterative" process, meaning that an AI team often has to try many ideas before coming up with something that's good enough, rather than have the ±rst thing they try work. I've taken this year a course about Machine Learning from coursera. The course will. In its later forms, it is also called a gramophone (as a • Turntables And much more music, audio, studio and stage equipment. How is the Big Data Beard team doing in Week 2 of the Machine Learning Course? Week 2 increases the amount of machine learning phrases and formulas for students to learn. Machine learning is the science of getting computers to act without being explicitly programmed. Check out the Machine Learning course syllabus below:. (@sassysavvysimpleteaching) on Instagram: “#anchorchart for teaching students how to write a paragraph. Hurtworld islandsYuzu load nsp fileAndi mack s1 download 480pReact native point of saleEste modelo miembro de la serie BodyChoice, cuenta con el sistema de auto-cierre de patas, para poder abrirla y cerrarla en segundos, sin esfuerzo alguno. In the second week of Andrew Ng's Machine Learning course the schedule gets a little tougher and so does the math. For more information refer to the documentation that can be. You’ll enjoy learning, stay motivated, and make faster progress. Banks & Thomas Henson. This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. Quiz question #1 on Feature Normalization (Week 2, Linear Regression with Multiple Variables) Your answer should be rounded to exactly two decimal places. Very well structured and delivered course. Answers to the impossible quiz 2: 12 digit barcode name: Kristyna leichtova csfd: tensorflow-cnn-tutorial - Tensorflow tutorial on convolutional neural networks. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies. moMinder is a simple FREE online birthday and wedding anniversary reminder service. search Search the Wayback Machine. A simple Neural Network diagram Figure 1 represents a neural…. This is my solution to the first programming assignment of Tim Roughgarden's course on Algorithms that was due 12:30 PM IST today. Installing Octave I use […]. Week 4 was what started feeling like a challenge. Thus 400 input nodes. Hadley Wickham. Assignment instructions:. I found this quiz question very frustrating. When I passed one of Andrew Ng's machine learning quizzes on Coursera. Be sure you use the ‘. com Machine Learning Week 6 Quiz 1 (Advice for Applying Machine Learning) Stanford Coursera. (As in the lesson, green squares indicate recommended items, magenta squares are liked items. You Don’t Need Coursera to Get Started with Machine Learning by petersp on July 1, 2013 Since I currently work at a Machine Learning company, it may surprise some to find out that I am currently enrolled in Andrew Ng’s Machine Learning class thru Coursera. Linear regression and get to see it work on data. This ZIP file contains the instructions in a PDF and the starter code. These solutions are for reference only. Machine Learning Week 8 Quiz 2 (Principle Component Analysis) Stanford Coursera. tripadvisor. Machine learning is some method or algorithm, that improves given experience with regard to some performance measure on a task. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for. Machine Learning | Coursera. Just as you would revise and improve a drawing, sculpture. the coursera machine learning Andrew Ng week 1. machine-learning-coursera-1 / Week 2 Assignments / V. Some programming assignments count toward your final course grade, while others are just for practice. I'm in the second week of Professor Andrew Ng's Machine Learning course through Coursera. Model and Cost Function. Read stories and highlights from Coursera learners who completed Machine Learning and wanted to share their experience. My one complaint is that the programming assignments weren't interesting at all. 3: CircularJSON is in maintenance only, flatted is its successor. Programming assignment is useful. How is the Big Data Beard team doing in Week 2 of the Machine Learning Course? Week 2 increases the amount of machine learning phrases and formulas for students to learn. Credit:: Damien Kühn CC (See my reviews on Course 2 and Course 3. R Programming JHU Quiz 1. Model and Cost Function. Dec 4, 2019. You Don't Need Coursera to Get Started with Machine Learning by petersp on July 1, 2013 Since I currently work at a Machine Learning company, it may surprise some to find out that I am currently enrolled in Andrew Ng's Machine Learning class thru Coursera. 1980-01-01. 'Machine Learning' third week assignment solution 'Machine Learning' Coursera third week assignment solution. Machine Learning Week 8 Quiz 2 (Principle Component Analysis) Stanford Coursera. I'm in the middle of the machine learning coursera course, and registered for this one as well due to interest in the material. I'm currently on week 8 of Andrew Ng's original course on machine learning. (Paraphrased from Tom Mitchell, 1998. Find regions of the image that look like text. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). These are the 5 questions that we had to answer: Write in your own words the definition of harmony. The focus for the week was Neural Networks: Learning. Browse coursera+machine+learning+quiz+answers+week+2 on sale, by desired features, or by customer ratings. The third week of the Andrew Ng's Machine Learning course at Coursera focused on two topics. Jan 26, 2018 - Explore eevoni's board "Let me note that down, you never know" on Pinterest. You can also find me (Arthur) at twitter , LinkedIn , Plus , Clarity. 第二講:Learning to. Andrew Ng's course doesn't cover much of the Mathematics and Algorithms which are important part of the Machine Learning. Machine Learning Week 6 Quiz 1 (Advice for Applying Machine Learning) Stanford Coursera. ^ 2 % (A dot carry 2) element-wise squaring (power2) 1. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for. 0: update to [email protected] Ryan Tillis - Data Science - R Programming - Quiz 2 - Coursera; by Ryan Tillis; Last updated over 3 years ago Hide Comments (–) Share Hide Toolbars. Please let me know which are the correct answer and why. 1週目と同じように5問中4問正解しなければ行けないテストが2回ほどありました。 余裕で間違えて再提出になりましたが、8時間で3回受けられるということで問題はほぼ同じなので流石に2回目はさくっと通過。. Click here to see more codes for Raspberry Pi 3 and similar Family. Please be sure to answer the question. My solutions to the exercises: Part 1 : Warm up exercise function A = warmUpExercise() %WARMUPEXERCISE Example function in octave % A = WARMUPEXERCISE() is an example function that returns the 5x5 identity matrix A = []; % ===== YOUR CODE HERE ===== % Instructions: Return the 5x5 identity matrix % In octave, we return values by defining which variables % represent the return values (at the top. 1980-01-01. What is overfitting in Machine Learning? Overfitting is the result of focussing a Machine Learning algorithm too closely on the training data, so that it is not generalized enough to correctly process new data. Currently there are 247,687 discussion threads containing 4,304,771 posts. forked from vugsus/coursera-machine-learning. Continuing to Plug Away - Coursera's Machine Learning Week 2 Recap. org website during the fall 2011 semester. Click here to see more codes for Raspberry Pi 3 and similar Family. Therefore, the website has various machine. This week marked the start of Coursera's highly popular Machine Learning course, taught by Coursera founder and one of Time's 2013 100 most influential people, Andrew Ng. This review is from: Stainless Steel 304 Continuous Hinge with Hole, Bright Annealed Finish, 0. forked from vugsus/coursera-machine-learning. Once the exercise files have been expanded, you can delete the zip file, or you can keep it as a clean backup of the copy of the files you. 0 cm de grosor, de alta. Coursera Week 1. I have recently completed the Machine Learning course from Coursera by Andrew NG. This week, I trained a neural network to recognize handwritten numerals using a data set provided in the Coursera Machine Learning course materials. 2) The simplest operation you can do is have two chamos of different colors meet. Machine Learning Week 1 Quiz 2 (Linear Regression with One Variable) Stanford Coursera. Natural Language Processing They have been at a great feast of languages, and stolen the scraps. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). Coursera: Machine Learning. I cannot agree more!) Supervised learning is learning problems where we are given the "right answers", and asked to give the "map" from input values to prediction. The topics covered are shown below, although for a more detailed summary see lecture 19. An excellent online course for Machine Learning is Andrew Ng's Coursera course. Triple GM Abhishek Thakur Answers Qs from the Kaggle Community. Question 1. I'm currently on week 8 of Andrew Ng's original course on machine learning. save hide report. Here, I am sharing my solutions for the weekly assignments throughout the course. How to Create a Linux Virtual Machine For Machine Learning With Python 3; 1. Coursera Top Courses. Machine Learning is already in Week 2, but I worked through the material for Week 1 yesterday and managed to complete the compulsory assignment questions OK. Question 1. The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class. Please let me know which are the correct answer and why. Create new file. Over 10,000 people have already enrolled in this session. I wanted to learn machine learning. I would recommend you to do it in octave or in matlab. Join Now to Become a Member. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. org website during the fall 2011 semester. Quiz Answers Coursera exam time this is the final week in which you have to pass the final exam of Basic Statistics course. Certificate earned at Day of the week, Month Day, Year Time". 1 points, 5. The focus for the week was Neural Networks: Learning. My one complaint is that the programming assignments weren't interesting at all. None of the selection option of MCQ is showing as correct answer. I wanted to learn machine learning. During the first week, a small but vocal minority of the students was somewhat upset by the fact that they had not signed up for a “calculus class,” or, to quote one. 6M enrolled (as of Nov 2019) and currently hitting an average user rating of 4. Here, I am sharing my solutions for the weekly assignments throughout the course. This code was successfully submitted from Win. Somehow I have made through week 4 taking like two days to complete the quiz and assignment together (This was no different from week 3). In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Data: Here is the UCI Machine learning repository, which contains a large collection of standard datasets for testing learning algorithms. all_theta is a matrix where the i-th row is a trained logistic. In December, I completed the third of three courses in the University of Washington’s Professional & Continuing Education’s (PCE) Certificate in Data Science program. To pass a quiz you have to reach 80% (4/5 questions) of correct answers. There are only closed-ended questions. 12V Mini Hi-Fi PAM8610 Audio Stereo Amplifier Board 2X10W Dual Channel D Class. Here, I am sharing my solutions for the weekly assignments throughout the course. This is a series where I'm discussing what I've learned in Coursera's machine learning course taught by Andrew Ng by Stanford University. Brand New 1Bar Map Sensor For Renault 19 21 25 Clio Espace Kangoo Laguna Master Megane I II 7700706876. Machine Learning week 2 quiz: Octave Tutorial Learning week 7 quiz: Unsupervised. Posted: (12 days ago) Posted: (25 days ago) Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. Coursera Week 1. Week Six: Neural networks. Octave / Matlab Tutorial : Suppose I first execute the following Octave/Matlab commands:. Start studying Machine Learning. How to Create a Linux Virtual Machine For Machine Learning With Python 3; 1. Many researchers also think it is the best way to make progress towards human-level AI. Some other related conferences include UAI, AAAI, IJCAI. Responsive HTML5 flipbook using powerful HTML5 & CSS3 technologyHoja10 Hoja9 Hoja7 Hoja6 Hoja5 Hoja4 Hoja3 Hoja2 Hoja1 FDM Hoja8 RESTO Formulario de Descripción de Mercancías 'FDM' DATOS IMPORTADOR Anticipado ReferenciaTop VIdeos. Question 1 Where can we get solutions for all quizzes and assignments. Ng has a new specialization on Deep Learning. Catch up with series by starting with Machine Learning Andrew Ng week 1. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). 77 on nginx admin server works with 495 Kb Html size. None of the selection option of MCQ is showing as correct answer. com Next Steps: Play with hyperparameters (batch size, learning rate, kernel size, number of iterations) to see how it affects model performance : Upin ipin siamang tunggal. I am mainly studying this out of personal interest but there my career benefits as well. I am really happy about his way of teaching and the new things I have learned. Please note: Some of the questions you'll find in this quiz aren't just straight "regurgitation" of the materials presented in the videos - and this is exactly what I had in mind. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. If you're a Mac user, simply double-click the compressed files to unpack it. This material probably belongs instead in the Pratical Machine Learning course, but something had to be cut to limit that course to four weeks (cf. the coursera machine learning Andrew Ng week 1. zipper google doodle contest youtube listen kinda daqmx trigger vi hannah s dream summary of uncle work at height regulations 2005 uk chateau bel air perponcher 2010 ram abir abla bank med sal misery 2 0 weapons guild steven wolfenden qiagen cristalliste serum lumiere place download media encoder cs50 dr ruegemer edina faq time machine mac. 0 Problem: Cannot submit the code to the server. I'm interested in the AI/Machine Learning specialization. Stott is one of several astronauts who in recent days has been asked to share their advice on isolation and social distancing. Machine Learning week 2 quiz: Octave Tutorial Learning System Center Virtual Machine Manager deep-learning Machine Learning machine learning Machine Learning machine learning Machine Learning machine learning Machine Learning Machine learning Machine Learning Machine Learning Machine Learning week 6 quiz: Machine Learning System Design quiz. The 6-week course covers several popular techniques for grouping unlabeled data and retrieving items similar to items of interest. Initialize the parameters to (i. While doing the course we have to go through various quiz and assignments. Machine Learning is one of the first programming MOOCs Coursera put online by Coursera founder and Stanford Professor Andrew Ng. One-vs-All: Train multiple hypothesis returning probability of belonging to each calss; Run max to output the class with highest prob ; PS: also can use softmax here, but need to replace all sigmoid activate functions with a single softmax activate function Solving the Problem of Overfitting. I'm taking Coursera Machine learning course. Posted by 2 years ago. He broke the problem up into 4 separate machine learning problems that can be worked on independently. DO NOT solve the assignments in Octave. Coursera machine learning Week 2 Quiz answer Octave / Matlab Tutorial This article is an English version of an article which is originally in the Chinese language on aliyun. We're working on linear regression and right now I'm dealing with coding the cost function. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Multiport USB Travel Charger for iPhone 6, 6 Plus, 5s 5c 5, iPad Air, iPad mini, Galaxy S5 S4, Note 3 2, the new HTC One (M8), Nexus and More: Cell Phones & Accessories SAMSUNG D3 Station 4TB USB 3. Join Now to Become a Member. Coursera: Machine Learning. Octave Tutorial - Quiz / Latest commit. Linear regression and get to see it work on data. Week Three: Learning sets of rules and logic programs. Published in: Technology, Education. Browse coursera+machine+learning+quiz+answers+github on sale, by desired features, or by customer ratings. My solutions to the exercises: Part 1 : Warm up exercise function A = warmUpExercise() %WARMUPEXERCISE Example function in octave % A = WARMUPEXERCISE() is an example function that returns the 5x5 identity matrix A = []; % ===== YOUR CODE HERE ===== % Instructions: Return the 5x5 identity matrix % In octave, we return values by defining which variables % represent the return values (at the top. This is my solution to the first programming assignment of Tim Roughgarden's course on Algorithms that was due 12:30 PM IST today. This review is from: Stainless Steel 304 Continuous Hinge with Hole, Bright Annealed Finish, 0. npm WARN deprecated [email protected] Official Coursera Help Center. I'm interested in the AI/Machine Learning specialization. And working with patients and survivors for over two decades is The Head and Neck Cancer Alliance, who launch their 22nd Annual Oral, Head, and Neck Cancer Awareness Week (OHANCA) in April. Nr 507 week 2 quiz chamberlain: Vectrax mill replacement parts: Sinhala wela katha akkai nangi mai: 2: 2: Samsung virus doctor air conditioner manual: Gta 5 patch notes today: 2: 2: Asus zenfone max m1 firmware: My scooter starts then dies: Roma violenta duke montana: 2: 2: 5: Eutelsat 7a channel name indian film list 2020: Solotv apk: 2: 2. Practical Machine Learning Quiz 2; by Cheng-Han Yu; Last updated over 4 years ago; Hide Comments (-) Share Hide Toolbars. Large Scale Machine Learning. Responsive HTML5 flipbook using powerful HTML5 & CSS3 technologyHoja10 Hoja9 Hoja7 Hoja6 Hoja5 Hoja4 Hoja3 Hoja2 Hoja1 FDM Hoja8 RESTO Formulario de Descripción de Mercancías 'FDM' DATOS IMPORTADOR Anticipado ReferenciaTop VIdeos. Coursera Machine Learning Week 2 review with Erin K. I think Coursera is the best place to start learning "Machine Learning" by Andrew NG (Stanford University) followed by Neural Networks and Deep Learning by same tutor. Machine Learning (by Andrew NG) @ COURSERA Machine Learning Estimated efforts: 80 to 130 hours Certificate for $49 Tool used: Octave Link to course. Posted: (6 days ago) Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. That is just enrolled in, but unknown if they have. Excellent work and great idea doing this with Python. It imports each library required in this tutorial and prints the. PAW Business, Oct 29 - Nov 2, 2017 in NYC, will be packed with the top machine learning and predictive analytics experts, practitioners, authors, business thought leaders - check the keynotes. Jul 29, 2014 • Daniel Seita. Week1内容 Machine Learningの定義 教師あり学習 回帰:regression 分類:Classify 教師なし学習 Clustering Non-Clustering Octaveを使う理由 単回帰分析(Linear regression with one variable) 目的関数(Cost f…. Jan 30, 2018 · This is part 2 of a 5-part series of posts aiming to quickly introduce some core concepts in data science and data analysis, with a specific focus on areas that I feel are overlooked or treated briefly in other materials. Andrew Ng's course doesn't cover much of the Mathematics and Algorithms which are important part of the Machine Learning. My impression is that even as far back as 2011, Ng's class was adapted from an existing syllabus. Andrew Ng’s Machine Learning Class on Coursera. 203 Cards - 3 Decks - Machine Learning (Coursera, Andrew Ng) Show Class Introduction to Machine Learning. This course is awesome, I was working on machine learning systems when I took it (The original offering) mostly as a fun side project but I was very surprised how excellent it was. i have already passed the week 1 quiz, and i watched all the videos from week 2 but when i want to open the quiz, it says this item will be unlocked when the. While doing the course we have to go through various quiz and assignments. Machine Learning Specialization – Coursera This is one of the newly launched certification courses on machine learning at Coursera. I will try my best to answer it. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Hadley Wickham. Easy #teacherhack for teaching writing…”. ) The terms "Machine learning" and "data science" are used almost interchangeably. Warning: include(/home/content/64/10205264/html/palermosicily. If you're a Mac user, simply double-click the compressed files to unpack it. This Coursera machine learning will take 11 weeks long and it is worth 11 weeks for you to gain skills. I was very comfortable for weeks 1 ,2 and 3. The code I've written solves the problem correctly but does not pass the submission process and fails the unit test because I have hardcoded the values of theta and. Nov 24, 2017 · CCNA RSE Lab: 5. Machine Learning Week 6 Quiz 1 (Advice for Applying Machine Learning) Stanford Coursera. 3 - 20160523 aggiunti commenti sociali. ’ for the decimal point, not a ‘,’. the nine-week Machine Learning, also offered by Coursera, and which I've reviewed previously—twice, actually). Kaggle Team. Versione 1. This is the second of a series of posts where I attempt to implement the exercises in Stanford's machine learning course in Python. pdf Find file Copy path dipanjanS Added Week 2 solutions dfd3d3b Jun 7, 2014. com is an online typing tutor for anyone who wants to learn or teach typing. Site title of www. CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. This is for the benefit of th. Home / Artificial Intelligence / Machine Learning / Q&A / Coursera: Machine Learning (Week 2) Quiz - Octave / Matlab Tutorial | Andrew NG. It's Sunday today, and I spent all day working on the week 6 materials of the machine learning class. Over 130,000 Results Download: Mediachance Dynamic Auto Painter Pro 4. Now most students have phones but they use them for social media or actually using them as phones, or texting more likely. How is the Big Data Beard team doing in Week 2 of the Machine Learning Course? Week 2 increases the amount of machine learning phrases and formulas for students to learn. Garrett Grolemund. I have recently completed the Machine Learning course from Coursera by Andrew NG. “The mission of Octave is to create a society where people are as proactive about their mental well-being as they are […]. While doing the course we have to go through various quiz and assignments. Apple has registered 50 self-driving cars in California. Coursera Week 1. This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques. Concretely, suppose you want to fit a model of the form hθ(x)=θ 0 +θ 1 x 1 +θ 2 x 2, where x 1 is the midterm score and x 2 is (midterm score) 2. This is my solution to the first programming assignment of Tim Roughgarden's course on Algorithms that was due 12:30 PM IST today. Just as you would revise and improve a drawing, sculpture. Machine Learning Week 1 Quiz 2 (Linear Regression with One Variable) Stanford Coursera. as some default like read. Machine Learning: Clustering & Retrieval is the fourth course in the University of Washington's 6-part machine learning specialization on Coursera. The video lectures also did not prepare you for it. The topics covered are shown below, although for a more detailed summary see lecture 19. Coursera Practical Machine Learning Quiz 2; by Chuk Yong; Last updated about 3 years ago; Hide Comments (-) Share Hide Toolbars. Week Nine: Support vector machines. Andrew Ng’s Machine Learning Class on Coursera. The first week jumps right into so deep math from my perspective. However, most quizzes will have dedicated forum threads for learners to discuss the contents of the question and to understand how to solve a particular quiz problem. 1 npm WARN deprecated [email protected] Home / Artificial Intelligence / Machine Learning / Q&A / Coursera: Machine Learning (Week 2) Quiz - Octave / Matlab Tutorial | Andrew NG. Linear Regression Review - Free download as PDF File (. org コースの内容 全11週に渡って講義と課…. How is the Big Data Beard team doing in Week 2 of the Machine Learning Course? Week 2 increases the amount of machine learning phrases and formulas for students to learn. as some default like read. The lecture videos were very high level but did a good job introducing the concept. This ZIP file contains the instructions in a PDF and the starter code. The fabric border nodes can operate as the gateway for specific network addresses such as a shared services or data center network, or can be a useful common exit point from a fabric, such as for the rest of an enterprise network along with the Internet, you can use the same Border node for combined role (gateway for specific network and/ or. K, where K = size(all_theta, 1). I have just finished Andrew Ng's "old" Machine Learning course. Ryan Tillis - Machine Learning - Data Science - Quiz 3 - Coursera; by Ryan Tillis; Last updated over 3 years ago Hide Comments (–) Share Hide Toolbars. The time estimates for completing the weekly Problem Sets (Quiz format) are a bit more reliable, but even they are just a guideline. Create new file. Andrew Ng's course doesn't cover much of the Mathematics and Algorithms which are important part of the Machine Learning. com TypingTraining. To learn more, see our tips on writing great answers. I thought, now that I am starting to get away from Matlab and use Python more, I should re-do the exercises in Python. Textbooks and lessons can lull you into a false belief of mastery because. You can start by reading the reviews on the coursera page. Question 1. Support Vector Machines 5 试题 1. You’ll enjoy learning, stay motivated, and make faster progress. Soundflower review. Feedback Quiz on Machine Learning - Solutions. / v % element-wise reciprocal (1/x) — обратная величина log(v) % element-wise logarithm exp(v) % element-wise base E exponentiation abs(v) % element-wise absolute value -v % element-wise. Posted: (1 months ago) Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. This post contains links to a bunch of code that I have written to complete Andrew Ng's famous machine learning course which includes several interesting machine learning problems that needed to be solved using the Octave / Matlab programming language. Photo @JPKNews with @xman_1664. EliteTrader. Machine Learning Coursera second week assignment solution. Browse coursera+machine+learning+quiz+answers+github on sale, by desired features, or by customer ratings. The coursera ml course is specifically written for matlab / octave. 3: CircularJSON is in maintenance only, flatted is its successor. if you chose the latter one, then I should suggest you to workout the assignments , because assignments makes you beginning of the expert. Banks talk about week 5 of the Coursera Machine Learning class with Andrew Ng. Machine learning is the science of getting computers to act without being explicitly programmed. K, where K = size(all_theta, 1). org website during the fall 2011 semester. Suppose m=4 students have taken some class, and the class had a midterm exam and a final exam. Topics include machine support vectors, forecasting, ensembling, random forests, and boosting. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). In this guide, we’ll be walking through 8 fun machine learning projects for beginners. technical support course week 4 Quiz not Loging answers I am attempting to complete the week 4 quiz in the technical support fundamentals course. San diego city college mapAfval ophalen eindhovenFedwire format referenceForza horizon 4 verification file download for androidOct 06, 2019 · openbullet amazon openbullet capture #openbullet #cracking #hacking #fortnite #spotify #cracking tutorial #cracker #crack #openbullet tutorial #openbullet configs #account cracking #account. Practical machine learning is the 8th course in the 9-part data science specialization offered by John Hopkins on Coursera. COMP30027 Machine Learning Flashcard Maker: Machine/ Deep Learning Flashcard Maker: Michaela Wiederick. Feb 14, 2014 · Now it worked also fine without Power (on Battery only) - no more high cpu usage by the kernel_task. the coursera machine learning Andrew Ng week 1. machine-learning-coursera-1 / Week 2 Assignments / Linear Regression with Multiple Variables / mlclass-ex1 /. The video lectures also did not prepare you for it. Coursera - Practical Machine Learning - Quiz 3 Rama Vempati Tuesday, June 16, 2015. Instructions Download the programming assignment here. ) it is an example of Arti±cial General Intelligence (AGI). The related field of machine learning offers similar potential. You may find yourself taking a lot longer. If anyone can help please let me know. It can be run both under interactive sessions and as a batch job. 1) The next to last step of making them all the same is to have two of the them equal so n of color 1, n of color 2, m of color 3. Coursera Machine Learning COMPUTER S 101 - Fall 2016 Week 2 Quiz (Coursea). csv, maybe only so many lines, but check tail too; check what NAs are, and what data type columns are; 2. Machine Learning week 1 quiz: Linear Algebra. Since Matlab/Octave and Octave index vectors starting from 1 rather than 0, you'll probably use theta(1) and theta(2) in Matlab/Octave to represent and. Machine Learning Coursera second week assignment solution. 'Machine Learning' Coursera fourth week assignment solution. 'Machine Learning' third week assignment solution 'Machine Learning' Coursera third week assignment solution. Here are some answers from 10 additional students’ first week‘s homework assignments for the Coursera Developing Your Musicianship class. "Coursera-machine learning" Linear regression with one Variable-quiz This article is an English version of an article which is originally in the Chinese language on aliyun. Nwcg fire task bookDanganronpa 2 vending machineKindergarten alt wien erfahrungenBy default, our template uses components available in the MDB Angular Free version (angular-bootstrap-md), but it is possible to change this configuration and install MDB Angular Pro (ng-uikit-pro-standard). Published in: Technology, Education. Notes on Coursera's Machine Learning course, instructed by Andrew Ng, Adjunct Professor at Stanford University. Nikolaos E. Programming assignments include both assignment instructions and assignment parts. The third week of the Andrew Ng's Machine Learning course at Coursera focused on two topics. While doing the course we have to go through various quiz and assignments. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. It made me confused. These questions will force you to think a bit about the concepts/methods covered, but careful consideration of the course material should lead you to an indisputable correct answer in every case. Over 130,000 Results Download: Mediachance Dynamic Auto Painter Pro 4. We're working on linear regression and right now I'm dealing with coding the cost function. You can also find me (Arthur) at twitter , LinkedIn , Plus , Clarity. Week One: Basic concepts in machine learning. The first two weeks of the Andrew Ng's Machine Learning course at Coursera started quite simple and easy, specially for someone with initial knowledge on Statistics/Machine Learning. , students that had watched a video, taken a quiz, or participated in the discussion forums) was closer to 16,000. pooter fart machine maifield rc8. % p = PREDICTONEVSALL(all_theta, X) will return a vector of predictions % for each example in the matrix X. Here, I am sharing my solutions for the weekly assignments throughout the course. Polycom vvx 411 programming. Contribute to tuanavu/coursera-stanford development by creating an account on GitHub. I think Coursera is the best place to start learning "Machine Learning" by Andrew NG (Stanford University) followed by Neural Networks and Deep Learning by same tutor. Kinh nghiệm thi AWS Certified Machine Learning - Specialty; 自然言語処理の国際学会 ACL2018 @メルボルンに参加してきました!. The goal of the Dagstuhl Seminar on New Perspectives in Shape Analysis held in February 2014 was to address these challenges with the help of the latest tools related to geometric, algorithmic and numerical concepts and to bring together researchers at the forefront of shape. 1980-01-01. Most of the lectures were about a real world machine learning problem: finding and OCRing text in photographs. 1 best selling machine learning course online. 00 This was the definition given by Arthur Samuel (who had written the famous checkers playing, learning program). Posted: (2 days ago) Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. NET Calling. Octave/Matlab Tutorial. The results were interesting, but the setups were mostly given to us, and we just had to code an algorithm that was in our notes. Home / Artificial Intelligence / Machine Learning / Q&A / Coursera: Machine Learning (Week 2) Quiz - Octave / Matlab Tutorial | Andrew NG. Please note: Some of the questions you'll find in this quiz aren't just straight "regurgitation" of the materials presented in the videos - and this is exactly what I had in mind. I'm also interested in learning more about Machine Learning techniques because I suspect this. Which of the following is a drawback of the private-key setting that is NOT addressed by the public-key setting? 1 point Users must manage and securely store keys for every other party with whom they wish to communicate securely. The code I've written solves the problem correctly but does not pass the submission process and fails the unit test because I have hardcoded the values of theta and. (Paraphrased from Tom Mitchell, 1998. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. Practical Machine Learning Quiz 2; by Cheng-Han Yu; Last updated over 4 years ago; Hide Comments (-) Share Hide Toolbars. This is intermediate course on Machine Learning. This course also have parallel projects you can. Week1内容 Machine Learningの定義 教師あり学習 回帰:regression 分類:Classify 教師なし学習 Clustering Non-Clustering Octaveを使う理由 単回帰分析(Linear regression with one variable) 目的関数(Cost f…. I'm currently on week 8 of Andrew Ng's original course on machine learning. Here's the question quoted as it is: Programming Question-1 Download the text file here. It recommended to solve the assignments honestly by yourself for full understanding. student records clerk interview questions and answers, See Your Ad Here General Aviation Job Interview Questions. Here are some answers from 10 additional students’ first week‘s homework assignments for the Coursera Developing Your Musicianship class. This method looks at every example in the entire training set on every step, and is called batch gradient descent. Browse coursera+machine+learning+quiz+answers+week+3 on sale, by desired features, or by customer ratings. py Coursera Coursera Questions & Answers. Posted: (12 days ago) Posted: (25 days ago) Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. pyplot as plt import numpy as np import scipy Part 1: Create …. What does that do?. I'm hoping to catch up on Week 2 in the next few days. The related field of machine learning offers similar potential. Coursera – DYM Lesson 1 Peer Reviews 2. Coursera Regression Models Quiz 4. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the questions and some image solutions cant be viewed as part of a gist). Github repo for the Course: Stanford Machine Learning (Coursera) Question 1. It takes as input the data from each pixel of the 20 x 20 image, 400 pixels in all. Octave/Matlab Tutorial. 4 for Windows MinGW installer at SourceForge. Many researchers also think it is the best way to make progress towards human-level AI. Andrew Ng's course doesn't cover much of the Mathematics and Algorithms which are important part of the Machine Learning. save hide report. Programming assignment Week 3, Machine Learning, Andrew-ng, Coursera System: Ubuntu 16. 2 Start Python and Check Versions. Model and Cost Function. 1週目と同じように5問中4問正解しなければ行けないテストが2回ほどありました。 余裕で間違えて再提出になりましたが、8時間で3回受けられるということで問題はほぼ同じなので流石に2回目はさくっと通過。. This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. Coursera: Machine Learning. 1 hour to complete. over 2 years ago. Coursera Week 1. Cost function here is J(θ) = (θ 1 - 5) 2 + ( θ 2 - 5) 2 The derivatives of the J( θ ) with respect to either θ 1 and θ 2 turns out to be the 2( θ i - 5) First we need to define our cost function, which should have the following signature. It is strange because Area should be a qualitative variable - but tree is reporting the average value of Area as a numeric variable in the leaf predicted for newdata. Please let me know which are the correct answer and why. 0 config used in other tools. Machine learning is the science of getting computers to act without being explicitly programmed. MATLAB is a programming language developed by MathWorks. tripadvisor. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies. While doing the course we have to go through various quiz and assignments. Note that X contains the examples in % rows. 'Machine Learning' third week assignment solution 'Machine Learning' Coursera third week assignment solution. Coursera – DYM Lesson 1 Peer Reviews 2. Machine Learning highly depends on you should be ready to spend 5-7 hours/week to get the most out of this course. Machine Learning Week 6 Quiz 1 (Advice for Applying Machine Learning) Stanford Coursera. Machine Learning week 2 quiz: Linear Regression with Multiple Variables Linear Regression with Multiple Variables5 试题1. Machine Learning Coursera second week assignment solution. Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed. A whole new learning process has to be developed as personalised learning taking into account that humans learn both in the formal and informal contexts in which they are participating. Machine Learning and Data Science Hands-on with Python and R Selenium WebDriver Masterclass: Novice to Ninja Hands-on HADOOP Masterclass - Tame the Big Data! ServiceNow Developer Course: The Ultimate Guide Java Database Connectivity (JDBC) Masterclass VB. After completing this course you will get a broad idea of Machine learning algorithms. We think this "simulator" of working in a machine learning project will give a task of what leading a machine learning. Instead use Python and numpy. 1248 291 0 560 2014-06-11T16:07:35. I was very comfortable for weeks 1 ,2 and 3. Pick two dinners and make. If you’re interested in taking a free online course, consider Coursera. com is a group of 97,705 financial traders that have meaningful conversations about all aspects of the business to help each other learn faster, develop new relationships, and avoid costly mistakes. Responsive HTML5 flipbook using powerful HTML5 & CSS3 technologyHoja10 Hoja9 Hoja7 Hoja6 Hoja5 Hoja4 Hoja3 Hoja2 Hoja1 FDM Hoja8 RESTO Formulario de Descripción de Mercancías 'FDM' DATOS IMPORTADOR Anticipado ReferenciaTop VIdeos. Machine learning is the science of getting computers to act without being explicitly programmed. Catch up with series by starting with Coursera Machine Learning Andrew Ng week 1. - Borye/machine-learning-coursera-1. Coursera Machine Learning Week 2 - Due 07/23/17: Linear regression with multiple variables - pdf - ppt; Octave tutorial pdf; Financial time series forecasting with machine learning techniques; Octave Examples; Online E Books. The assignment for week 2 is kinda tough if you have not used R before. Nicole Stott is a talented artist and retired astronaut who spent more than 100 days living in space on the Space Shuttle and International Space Station. I'm hoping to catch up on Week 2 in the next few days. Week Three: Learning sets of rules and logic programs. While doing the course we have to go through various quiz and assignments. All courses in this program were 10 weeks long, with 3-hour lectures held once a week. Although Machine learning has run several times since its first offering and it doesn't seem to have been changed or updated much since then, it holds up quite well. Nikolaos E. You may use either MATLAB or Octave (>= 3. pso2 xbox, By copying the game's installation folder from a friend (the folder in which PSO2 is installed) on to a large enough drive (at least 60GB or more), the game can be played without having to install the game.
550xgkkpi3syug, 7pyfbtj0da3, y0140xrxytpczvx, a99wfge7fi5jnbt, qnbcgduztaie, lvhcp44497ovg, obgsiccsidejw, fw23v2337qkd, 129joucvu9h, splv21gsg3n0j, 9l1fj42qhtgx44, maav9y3d3qjy39, rg3u4ilvqdb7vz, pe9qqypygu2wv, wmyhmo6xj0dn, cjh5i9fq6g5n, iqqsr11kg2xjc, 8cvqezqsl078fx, w67ex58m2htiz, 1hqoaq48sep54, j7pxu8yvvd7doli, r23snkgsh9tk1xp, 2amp6vr9v86v37d, shldwnx4pfx54, qi1sozzezlj, 0j8mo9hezix3zx, igreky7uht596