Applied Machine Learning

Applied Machine Learning
Applied Machine Learning
By 作者: M GOPAL
ISBN-10 书号: 1260456846
ISBN-13 书号: 9781260456844
Edition 版本: 1
Release Finelybook 出版日期: 2019-06-05
pages 页数: (656 )

$70

Book Description to Finelybook sorting

Cutting-edge machine learning principles, practices, and applications
This comprehensive textbook explores the theoretical under-pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.
Coverage includes:

Supervised learning
Statistical learning
Learning with support vector machines (SVM)
Learning with neural networks (NN)
Fuzzy inference systems
Data clustering
Data transformations
Decision tree learning
Business intelligence
Data mining
And much more

Contents


Preface
Acknowledgements
1. Introduction
2. Supervised Learning: Rationale and Basics
3. Statistical Learning
4. Learning With Support Vector Machines(SVM)
5. Learning With Neural Networks(NN)
6. Fuzzy Inference Systems
7. Data Clustering and Data Transformations
8. Decision Tree Learning
9. Business Intelligence and Data Mining: Techniques and
Applications
Appendix A Genetic Algorithm (GA) For Search
Optimization
Appendix B Reinforcement Learning(RL)
Datasets from Real-Life Applications for Machine
Learning Experiments
Problems
References
Index


下载地址

Applied Machine Learning 9781260456844.pdf

赞(0) 打赏
未经允许不得转载:finelybook » Applied Machine Learning
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏