整个机器学习完整路线图被分为四个部分：

作者推荐书籍 《用SciKit学习和TensorFlow进行机器学习》

1. 预备知识

• Python

• Jupyter Notebook

• The Math you need

• The Machine Learning landscape

2. 基于Scikit-Learn的机器学习

• Why Scikit-Learn?

• End-to-End Machine Learning project

• Linear Regression

• Classification

• Training models

• Support Vector Machines

• Decision Trees

• Ensemble Learning and Random Forest

• Unsupervised Learning — new

• Wrapping up and looking forward

3. 基于TensorFlow的机器学习

• Why TensorFlow?

• Up and Running with TensorFlow

• ANN - Artificial Neural Networks

• CNN - Convolutional Neural Networks

• RNN - Recurrent Neural Networks

• Training Networks: Best practices

• AutoEncoders

• Reinforcement Learning

• Next steps

4. 实用工具

• Machine Learning Projects

• Data Science Tools

• Blogs / Youtube Channels / Websites worth taking a look!