Machine learning notes 1: learning ideas

One 、 faction

Frequency school ： Statistical machine learning
Bayesian school ： Probability graph model

Two 、 Learning books

expericnce 《 Statistical learning method 》：

zhou 《 machine learning 》：

《PRML》： Pattern Recognition and Machine Learning, The book was published in 2006 year , It is a classic in the field of Bayesian machine learning . The author is Christopher M. Bishop, Now he is the director of the laboratory of Microsoft Research Institute in Cambridge .

《MLAPP》： Full name Machine Learning：A Probabilistic Prospective, yes 2012 A book on machine learning published in .

《ESL》： The Elements of Statistical Learning

《Deep Learning》：

3、 ... and 、 Learning video

1. Taiwan University Lin Xuantian ： Building blocks of machine learning + Technique ;
2. Shanghai Jiaotong University Zhang Zhihua ： Introduction to machine learning （ Probability school ）、 Statistical learning （ Bayesian school ）;
3.Ng：CS229、CS231;
4. Xu Yida ： Probabilistic model algorithm ,github：notes;
5. Taiwan University Li Hongyi ：ML、MLDS;

Four 、 Mathematical basis

1. linear algebra ： recommend MIT Gilbert Strang Linear algebra course taught , stay B You can find , Practice English by the way , Gain a lot ;

5、 ... and 、 Learning ideas

Personally think that , Machine learning Xiaobai can start with the actual project , Because there are a lot of machine learning projects on the competition platform , such as Ali Tianchi 、Kaggle Two big platform .