Machine Learning 機器學習筆記

目錄

前言

第一周：Welcome

1. [What is Machine Learning?](halfrost/Halfrost-Field)
2. [Linear Regression with One Variable](halfrost/Halfrost-Field)

第二周：Linear Regression with Multiple Variables

1. [Multivariate Linear Regression](halfrost/Halfrost-Field)
2. [Computing Parameters Analytically](halfrost/Halfrost-Field)
3. [Octave/Matlab Tutorial](halfrost/Halfrost-Field)

第三周：Logistic Regression

1. [Logistic Regression](halfrost/Halfrost-Field)
2. [Regularization](halfrost/Halfrost-Field)

第四周：Neural Networks: Representation

1. [Neural Networks Representation](halfrost/Halfrost-Field)

第五周：Neural Networks: Learning

1. [Neural Networks Learning](halfrost/Halfrost-Field)
2. [Backpropagation in Practice](halfrost/Halfrost-Field)

第六周：Advice for Applying Machine Learning

1. [Advice for Applying Machine Learning](halfrost/Halfrost-Field)
2. [Machine Learning System Design](halfrost/Halfrost-Field)

第七周：Support Vector Machines

1. [Support Vector Machines](halfrost/Halfrost-Field)

第八周：Unsupervised Learning

1. [Unsupervised Learning](halfrost/Halfrost-Field)
2. [Dimensionality Reduction](halfrost/Halfrost-Field)

第九周：Anomaly Detection

1. [Anomaly Detection](halfrost/Halfrost-Field)
2. [Recommender Systems](halfrost/Halfrost-Field)

第十周：Large Scale Machine Learning

1. [Large Scale Machine Learning](halfrost/Halfrost-Field)

第十一周：Application Example: Photo OCR

1. [Application Example: Photo OCR](halfrost/Halfrost-Field)

GitHub Repo：[Halfrost-Field](halfrost/Halfrost-Field)

Follow: [halfrost · GitHub](halfrost (halfrost))

Source: [halfrost/Halfrost-Field](halfrost/Halfrost-Field)

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