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Mastering .NET Machine Learning
Jamie Dixon
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Mastering .NET Machine LearningJamie Dixon
This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required.
This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required.
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This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required.
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出版社Packt Publishing
出版时间2016年3月
字数383,817
分类计算机-编程设计
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Mastering .NET Machine Learning
Jamie Dixon
- 扉页
- 版权信息+书签
- Credits
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Welcome to Machine Learning Using the .NET Framework
- What is machine learning?
- Why .NET?
- What version of the .NET Framework are we using?
- Why write your own?
- Why open data?
- Why F#?
- Getting ready for machine learning
- Third-party libraries
- Summary
- Chapter 2. AdventureWorks Regression
- Simple linear regression
- Math.NET
- Accord.NET
- AdventureWorks app
- Summary
- Chapter 3. More AdventureWorks Regression
- Introduction to multiple linear regression
- Logistic regression
- Summary
- Chapter 4. Traffic Stops – Barking Up the Wrong Tree?
- The scientific process
- Open data
- Hack-4-Good
- Summary
- Chapter 5. Time Out – Obtaining Data
- Overview
- SQL Server providers
- Combining data
- Summary
- Chapter 6. AdventureWorks Redux – k-NN and Naïve Bayes Classifiers
- k-Nearest Neighbors (k-NN)
- Naïve Bayes
- AdventureWorks
- Making use of our discoveries
- Summary
- Chapter 7. Traffic Stops and Crash Locations – When Two Datasets Are Better Than One
- Unsupervised learning
- Traffic stop and crash exploration
- The Code-4-Good application
- Summary
- Chapter 8. Feature Selection and Optimization
- Cleaning data
- Selecting data
- Overfitting and cross validation
- Summary
- Chapter 9. AdventureWorks Production – Neural Networks
- Neural networks
- Building the application
- Summary
- Chapter 10. Big Data and IoT
- AdventureWorks and the Internet of Bikes
- The IoT
- Summary
- Index
Mastering .NET Machine Learning
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