1_0-Machine-Learning-Coursera-Stanford-Online-_AndrewNG-main.zip （19个子文件） 
1.0-Machine-Learning-Coursera-Stanford-Online-_AndrewNG-main 
README.md 57B Lectures 
Lecture6_Logistic Regression.pdf 2.12MB Lecture4_Linear Regression with Multiple Variables.pdf 1.7MB Lecture11_Machine Learning System Design.pdf 498KB Lecture13_Clustering.pdf 2.17MB Lecture16_Recommender Systems.pdf 1.42MB Lecture1_Introduction.pdf 3.3MB Lecture12_Support Vector Machines.pdf 2.3MB Lecture17_Large Scale Machine Learning.pdf 1.98MB Lecture3_Linear Algebra review (optional).pdf 1.8MB Lecture18_Application Example_Photo OCR.pdf 1.97MB Lecture15_Anomaly Detection.pdf 3.33MB Lecture5_Octave Tutorial.pdf 242KB Lecture8_Neural Networks-Representation.pdf 4.97MB Lecture7_Regularization.pdf 3.23MB Lecture9_Neural Networks-Cost Function.pdf 3.36MB Lecture14_Dimensionality Reduction.pdf 1.61MB Lecture10_Advice for applying Machine Learning.pdf 1.48MB Lecture2_Linear Regression with one variable.pdf 2.88MB资源评论
