01_ machine learning Introduction

Machine learning objectives: to algorithms, case-driven learning, easy to understand mathematical knowledge.

Objective: Learn all kinds of machine learning algorithms principle

    Master the use of the algorithm, capable of binding to the scene to solve practical problems

    Master the skills of machine learning algorithm libraries and frameworks

 

Machine Learning major areas: natural language processing, image recognition, traditional forecasting.

Machine learning libraries and frameworks: sklearn.

Deep learning framework: tensorflow.

Once you have the foundation, learning books recommended: Machine Learning (Zhou Zhihua), Python actual data analysis and mining, machine learning system designed for machine intelligence TensorFlow practice, TensorFlow technical analysis and actual combat. (Not recommended for direct read)

 

Learning Summary:

 

 

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Origin www.cnblogs.com/cwj2019/p/11712086.html