以前看過的機器學習課程。本文是相關課程筆記、習題答案、做業源碼的電梯。html
課程地址和軟件下載git
Coursera鏈接不上(視頻沒法播放),修改hosts文件github
Week1網絡
課程筆記 Lecture 1_Introduction and Basic Concepts 介紹和基本概念app
課程筆記 Lecture 2_Linear regression with one variable 單變量線性迴歸機器學習
課程筆記 Lecture 3_Linear Algebra Review 線性代數ide
Week2工具
課程筆記 Lecture 4_Linear Regression with Multiple Variables 多變量線性迴歸學習
課程筆記 Lecture 5 Octave Tutorial 教程
Week3
課程筆記 Lecture 6_Logistic Regression 邏輯迴歸
課程筆記 Lecture 7 Regularization 正則化
Week4
課程筆記 Lecture 8_Neural Networks Representation 神經網絡的表述
Week5
課程筆記 Lecture 9_Neural Networks learning 神經網絡學習
Week6
課程筆記 Lecture 10_Advice for applying machine learning 機器學習應用建議
課程筆記 Lecture 11_Machine Learning System Design 機器學習系統設計
Week7
課程筆記 Lecture 12_Support Vector Machines 支持向量機
Week8
課程筆記 Lecture 14_Dimensionality Reduction 降維
Week9
課程筆記 Lecture 15_Anomaly Detection異常檢測
課程筆記 Lecture 16_Recommender Systems 推薦系統
Week10
課程筆記 Lecture 17_Large Scale Machine Learning 大規模機器學習
課程筆記 Lecture 18_Photo OCR 應用實例:圖片文字識別
Week 1 習題—Linear Regression with One Variable 單變量線性迴歸
Week 2 習題—Linear Regression with Multiple Variables 多變量線性迴歸
Week 3 習題—Logistic Regression 邏輯迴歸
Week 4 習題—Neural Networks 神經網絡
Week 5 習題—Neural Networks learning 神經網絡學習
Week 6 習題—Advice for applying machine learning 機器學習應用建議
Programming Exercise 3—多分類邏輯迴歸和神經網絡
Programming Exercise 4—反向傳播神經網絡
課程筆記 Part1:線性迴歸 Linear Regression
課程筆記 part2:分類和邏輯迴歸 Classificatiion and logistic regression
課程筆記 part3:廣義線性模型 Greneralized Linear Models (GLMs)
課程地址:
編程習題:
筆記:
原文出處:https://www.cnblogs.com/maxiaodoubao/p/10184428.html