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Mastering Go

You're reading from   Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781838559335
Length 798 pages
Edition 2nd Edition
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Author (1):
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Mihalis Tsoukalos Mihalis Tsoukalos
Author Profile Icon Mihalis Tsoukalos
Mihalis Tsoukalos
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Table of Contents (15) Chapters Close

1. Go and the Operating System 2. Understanding Go Internals FREE CHAPTER 3. Working with Basic Go Data Types 4. The Uses of Composite Types 5. How to Enhance Go Code with Data Structures 6. What You Might Not Know About Go Packages and Functions 7. Reflection and Interfaces for All Seasons 8. Telling a UNIX System What to Do 9. Concurrency in Go – Goroutines, Channels, and Pipelines 10. Concurrency in Go – Advanced Topics 11. Code Testing, Optimization, and Profiling 12. The Foundations of Network Programming in Go 13. Network Programming – Building Your Own Servers and Clients 14. Machine Learning in Go 15. Other Books You May Enjoy

Calculating simple statistical properties

Statistics is an area of mathematics that deals with the collection, analysis, interpretation, organization, and presentation of data. The field of statistics is divided into two main areas: the area of descriptive statistics, which tries to describe an already existing group of values, and the area of inferential statistics, which tries to predict upcoming values based on the information found in the current set of values.

Statistical learning is a branch of applied statistics that is related to machine learning. Machine learning, which is closely related to computational statistics, is an area of computer science that tries to learn from data and make predictions about it without being specifically programmed to do so.

Statistical models try to interpret data as accurately as possible. However, the accuracy of a model might depend on...
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