目錄(60章)
倒序
- 封面
- 版權頁
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Transforming Data into Actions
- A data-driven approach in business decisions
- Identifying hidden patterns
- Estimating the impact of an action
- Summary
- Chapter 2. R – A Powerful Tool for Developing Machine Learning Algorithms
- Why R
- The R tutorial
- Some useful R packages
- Summary
- Chapter 3. A Simple Machine Learning Analysis
- Exploring data interactively
- Exploring the data using machine learning models
- Predicting newer outcomes
- Summary
- Chapter 4. Step 1 – Data Exploration and Feature Engineering
- Building a machine learning solution
- Building the feature data
- Exploring and visualizing the features
- Modifying the features
- Ranking the features using a filter or a dimensionality reduction
- Summary
- Chapter 5. Step 2 – Applying Machine Learning Techniques
- Identifying a homogeneous group of items
- Applying the k-nearest neighbor algorithm
- Optimizing the k-nearest neighbor algorithm
- Summary
- Chapter 6. Step 3 – Validating the Results
- Validating a machine learning model
- Tuning the parameters
- Selecting the data features to include in the model
- Tuning features and parameters together
- Summary
- Chapter 7. Overview of Machine Learning Techniques
- Overview
- Supervised learning
- Linear regression
- Perceptron
- Unsupervised learning
- Summary
- Chapter 8. Machine Learning Examples Applicable to Businesses
- Overview of the problem
- Clustering the clients
- Predicting the output
- Summary
- Index 更新時間:2021-08-05 17:08:55
推薦閱讀
- 云數據中心基礎
- 使用GitOps實現Kubernetes的持續部署:模式、流程及工具
- 大數據導論
- 文本挖掘:基于R語言的整潔工具
- 大數據時代下的智能轉型進程精選(套裝共10冊)
- 數據驅動設計:A/B測試提升用戶體驗
- Oracle RAC日記
- 新手學會計(2013-2014實戰升級版)
- MySQL技術內幕:SQL編程
- 云計算
- Cognitive Computing with IBM Watson
- 大數據技術體系詳解:原理、架構與實踐
- 掌中寶:電腦綜合應用技巧
- Managing Software Requirements the Agile Way
- MySQL技術內幕:InnoDB存儲引擎(第2版)
- Python數據可視化之matplotlib精進
- SQL必知必會(第四版)
- HBase應用實戰與性能調優
- 循序漸進Oracle:數據庫管理、優化與備份恢復
- 數據質量實踐手冊:4步構建高質量數據體系
- Access 2010數據庫程序設計
- 數據挖掘技術及其在恒星光譜分析中的應用研究
- 大數據搜索引擎原理分析
- MySQL數據庫基礎與實踐
- 數據產品開發與經營:從數據資源到數據資本
- 計算機組裝與維護項目教程(第2版)
- SQL Server 2012寶典
- Hands-On High Performance with Spring 5
- Hadoop大數據挖掘從入門到進階實戰(視頻教學版)
- 高效自動化測試平臺:設計與開發實戰