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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

An Introduction to Machine Learning Concepts

Machine learning has become a commonplace topic in our day-to-day lives. The advancement in the field has been so dramatic that today, even cell phones incorporate advanced machine learning and artificial intelligence-related facilities, capable of responding and taking actions based on human instructions.

A subject that was once limited to university classrooms has transformed into a full-fledged industry, pervading our daily lives in ways we could not have envisioned even just a few years ago.

The aim of this chapter is to introduce the reader to the underpinnings of machine learning and explain the concepts in simple, lucid terms that will help readers become familiar with the core ideas in the subject. We'll start off with a high-level overview of machine learning, and explain the different categories and how to distinguish...

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