目录

• 前言

第一周：Welcome

• 1.1 What is Machine Learning?
• 1.2 Linear Regression with One Variable

第二周：Linear Regression with Multiple Variables

• 2.1 Multivariate Linear Regression
• 2.2 Computing Parameters Analytically
• 2.3 Octave/Matlab Tutorial

第三周：Logistic Regression

• 3.1 Logistic Regression
• 3.2 Regularization

第四周：Neural Networks: Representation

• 4.1 Neural Networks Representation

第五周：Neural Networks: Learning

• 5.1 Neural Networks Learning
• 5.2 Backpropagation in Practice

第六周：Advice for Applying Machine Learning

• 6.1 Advice for Applying Machine Learning
• 6.2 Machine Learning System Design

第七周：Support Vector Machines

• 7.1 Support Vector Machines

第八周：Unsupervised Learning

• 8.1 Unsupervised Learning
• 8.2 Dimensionality Reduction

第九周：Anomaly Detection

• 9.1 Anomaly Detection
• 9.2 Recommender Systems

第十周：Large Scale Machine Learning

• 10.1 Large Scale Machine Learning

第十一周：Application Example: Photo OCR

• 11.1 Application Example: Photo OCR

分享这篇文章：

你的反应是：

• 0
• 俺的神呀 0
• 赞一个 0
• 飘过~ 0
• 强 0
• 很实用 0
• 好文 0
• 笑死了 0
• mark 0
• 敬佩 0
• 垃圾 0
• 0

看样子你已经点过这个了！

抱歉，你最多只能点三个！

请关注我们：