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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

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781838559335

Length 798 pages

Edition 2nd Edition

Languages

Go

Tools

gRPC

Concepts

Machine Learning

Author (1):

Mihalis Tsoukalos

View More author details

Table of Contents (15) Chapters

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

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Summary

This chapter talked about many interesting things related to machine learning, including regression, anomaly detection, classification, clustering, and outliers. Go is a great and robust programming language for use in machine learning areas, so feel free to include it in your machine learning projects.

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Authors (1)

Mihalis Tsoukalos

Mihalis Tsoukalos

Mihalis Tsoukalos holds a BSc in Mathematics from the University of Patras and an MSc in IT from University College London, UK. His books, Go Systems Programming and Mastering Go, have become must-reads for Unix and Linux systems professionals. He enjoys writing technical articles and has written for Sys Admin, MacTech, C/C++ Users Journal, USENIX ;login:, Linux Journal, Linux User and Developer, Linux Format, and Linux Voice. His research interests include time series data mining, time series indexing, and databases.

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