本书于2017-07由Packt Publishing出版，作者Giuseppe Bonaccorso，全书580页。

关注大数据猿(bigdata_ai)公众号及时获取最新大数据相关电子书、资讯等

通过本书你将学到以下知识

• Acquaint yourself with important elements of Machine Learning
• Understand the feature selection and feature engineering process
• Assess performance and error trade-offs for Linear Regression
• Build a data model and understand how it works by using different types of algorithm
• Learn to tune the parameters of Support Vector machines
• Implement clusters to a dataset
• Explore the concept of Natural Processing Language and Recommendation Systems
• Create a ML architecture from scratch.

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本书的章节

1. A GENTLE INTRODUCTION TO MACHINE LEARNING
2. IMPORTANT ELEMENTS IN MACHINE LEARNING
3. FEATURE SELECTION AND FEATURE ENGINEERING
4. LINEAR REGRESSION
5. LOGISTIC REGRESSION
6. NAIVE BAYES
7. SUPPORT VECTOR MACHINES
8. DECISION TREES AND ENSEMBLE LEARNING
9. CLUSTERING FUNDAMENTALS
10. HIERARCHICAL CLUSTERING
11. INTRODUCTION TO RECOMMENDATION SYSTEMS
12. INTRODUCTION TO NATURAL LANGUAGE PROCESSING
13. TOPIC MODELING AND SENTIMENT ANALYSIS IN NLP
14. A BRIEF INTRODUCTION TO DEEP LEARNING AND TENSORFLOW
15. CREATING A MACHINE LEARNING ARCHITECTURE

下载地址

提供了PDF、azw3 以及 epub 三种格式的下载。

点击进入下载