Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
 Akhtar Akhtar
Author Profile Icon Akhtar
Akhtar
Arrow right icon
View More author details
Toc

Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 1. Other Books You May Enjoy Index

Chapter 12. Machine Learning

Human beings start learning different things from childhood. The desire to learn increases as we grow older, interact with different people, study different subjects, and so on. It's in the nature of human beings. It gives us the ability to make decisions and predict actions. Computers and machines, however, only do what they are programmed to do, within the range of predefined rules and instructions. They cannot predict or perform an action on their own unless they are programmed to do so. But nowadays, with all the advancement of science and technology, it is becoming a thing of the past that a machine cannot learn on its own. Now, machines have started learning if provided with the correct datasets. It is similar to the childhood of a human being, but with all of the new research and advancement, it all will grow very quickly. 

In this chapter, we will discuss the following topics:

  • Machine learning
  • Types of machine learning algorithms
  • Supervised machine learning...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images