Machine Learning: Master The Three Types Of Machine Learning

Machine Learning: Master The Three Types Of Machine Learning by Robert Keane
English | 21 Oct. 2017 | ASIN: B076NRNLRC | 87 Pages | AZW3 | 190.11 KB

Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for and it will also learn from the choices that you make.

There are actually many technologies that have used machine learning and have been found throughout a wide spectrum of applications. You can find them in search engines, spam messages, and many more applications. Unlike many conventional programs that are designed to follow the code and do nothing else, those that are designed for machine learning will be able to use artificial intelligence. Programmers enjoy this because the program can be adapted, without the programmer always being present. With a conventional program, you have to guess ahead of time and code it exactly right, but with machine learning programs, you can set it up to learn as it goes.

In this book you will find:

Understanding the Basics of Machine Learning
Why should I Use Machine Learning?
Machine Learning Applications
How Artificial Intelligence and Machine Learning are Different
Statistics and Probability Theory
The Building Blocks of Machine Learning
Formal Statistical Learning Framework
PAC Learning Strategies
Generalization Models in Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Support Vector Machines
Issues That Can Come Up In Machine Learning

The computer that has machine learning on it will be programmed to learn from the inputs they are given. This allows the computer to provide the user with some answers or results, even when the problems are complex. The input for the learning process, or the learning algorithm as they are known in machine learning, will be known as the training data. On the other hand, the output will be the complex task that the software program will perform.

If you are looking to up your knowledge in Machine Learning, this book is for you!

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