Machine Learning
Machine Learning
50.00
offered by Standford Andrew Ng
1.Introduction
2.Linear Regression with One Variable
3.Linear Algebra Review
4.Linear Regression with Multiple Variables
5.Octave/Matlab Tutorial
6.Logistic Regression
7.Regularization
8.Neural Networks: Representation
9.Neural Networks: Learning
10.Advice for Applying Machine Learning
11.Machine Learning System Design
12.Support Vector Machines
13.Unsupervised Learning
14.Dimensionality Reduction
15.Anomaly Detection
16.Recommender Systems
17.Large Scale Machine Learning
18.Application Example: Photo OCR
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This is the same course on coursera, we will send you the link within 12hrs. We will send the course via Baidu cloud or via the google drive please add my wechat:monkeyjack123 or leave your email we will send via google drive.

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