-
Hands-On.Machine.Learning.with.Scikit-Learn.and.TensorFlow下载
资源介绍
Table of Contents
Chapter 1: The Machine Learning Landscape
Chapter 2: End-to-End Machine Learning Project
Chapter 3: Classification
Chapter 4: Training Linear Models
Chapter 5: Support Vector Machines
Chapter 6: Decision Trees
Chapter 7: Ensemble Learning and Random Forests
Chapter 8: Dimensionality Reduction
Chapter 9: Up and Running with TensorFlow
Chapter 10: Introduction to Artificial Neural Networks
Chapter 11: Training Deep Neural Nets
Chapter 12: Distributing TensorFlow Across Devices and Servers
Chapter 13: Convolutional Neural Networks
Chapter 14: Recurrent Neural Networks
Chapter 15: Autoencoders
Chapter 16: Reinforcement Learning