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Python Machine Learning (2nd) -2017-9

2017-09-22 上传大小:15.93MB
Table of Contents
Giving Computers the Ability to Learn from Data
Training Simple Machine Learning Algorithms for Classification
A Tour of Machine Learning Classifiers Using Scikit-Learn
Building Good Training Sets - Data Preprocessing
Compressing Data via Dimen
sionality Reduction
Learning Best Practices for Model Evaluation and Hyperparameter Tuning
Combining Different Models for Ensemble Learning
Applying Machine Learning to Sentiment Analysis
Embedding a Machine Learning Model into a Web Application
Predicting Continuous Target Variables with Regression Analysis
Working with Unlabeled Data - Clustering Analysis
Implementing a Multilayer Artificial Neural Network from Scratch
Parallelizing Neural Network Training with TensorFlow
Going Deeper - The Mechanics of TensorFlow
Classifying Images with Deep Convolutional Neural Networks
Modeling Sequential Data using Recurrent Neural Networks
...展开收缩
综合评分:5(2位用户评分)
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评论共有2条

hugh37 2017-12-29 10:34:02
书不错,积分要的太多了
technicaec7 2017-12-16 13:48:08
结构清晰 作者用实例一步一步讲解深度学习中的各个概念 适合入门

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