Due 4/10. Solutions to the problem sets of CS229: Machine Learning from 2018 - Joker14641/cs229 Out 4/1. The problems sets are the ones given for the class of Fall 2017. View ps3.pdf from COMPUTER S CS229 at National School of Computer Science. Class Notes. The repo records my solutions to all assignments and projects of Stanford CS229 Fall 2017. Lecture notes, lectures 10 - 12 - Including problem set. cs229 stanford 2018, Relevant video from Fall 2018 [Youtube (Stanford Online Recording), pdf (Fall 2018 slides)] Assignment: 5/27: Problem Set 4. Section: 11/16: Discussion Section: canceled Project: 11/16 : Project milestones due 11/16 at 11:59pm. 39 pages (2) If you have a question about this homework, we encourage you to post Learning CS229. Class Notes 80% (5) Pages: 39 year: 2015/2016. Value Iteration and Policy Iteration. CS229: Machine Learning Solutions. This repository compiles the problem sets and my solutions to Stanford's Machine Learning graduate class (CS229), taught by Prof. Andrew Ng.. All details are posted on Piazza. Value function approximation. You can also check out some of them via belowing links: Q-Learning. One of many my self-studied courses. LQR. Value Iteration and Policy Iteration. Lecture 17 : 11/26 : Value Iteration and Policy Iteration. cs229-notes1.pdf: Linear Regression, Classification and logistic regression, Generalized Linear Models: cs229-notes2.pdf: Generative Learning algorithms CS229的材料分为notes， 四个ps，还有ng的视频。 ... 强烈建议当进行到一定程度的时候把提供的problem set 自己独立做一遍，然后再看答案。 你提到的project的东西，个人觉得可以去kaggle上认认真真刷一个比赛，就可以把你的学到的东西实战一遍。 Class Notes. Lecture 1: 4/1 : Introduction and Basic Concepts Class Notes: Introduction : A0: 4/3 : Problem Set 0. Week 9: Lecture 17: 6/1: Markov Decision Process. Due 6/10 at 11:59pm (no late days). LQG. Midterm: 11/7: We will have a take-home midterm. Class Notes. Due 11/14. Submission instructions. Relevant video from Fall 2018 [Youtube (Stanford Online Recording), pdf (Fall 2018 slides)] Assignment: 5/27: Problem Set 4. Submission instructions. Lecture 2: 4/3: Supervised Learning Setup. CS229 Problem Set #3 1 CS 229, Fall 2018 Problem Set #3 Solutions: Deep Learning & Unsupervised learning YOUR NAME HERE Using machine learning (a subset of artificial intelligence) it is now possible to create computer systems that automatically improve with experience. Due 6/10 at 11:59pm (no late days). Q-Learning. Value function approximation. Please be as concise as possible. Notes: (1) These questions require thought, but do not require long answers. Teaching page of Shervine Amidi, Graduate Student at Stanford University. Week 9: Lecture 17: 6/1: Markov Decision Process. Out 10/31. Problem Set 3. CS229 Problem Set #1 1 CS 229, Autumn 2014 Problem Set #1 Solutions: Supervised Learning Due in class (9:00am) on Wednesday, October 16. Linear Regression. 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