Machine Learning - an Introduction

"Machine Learning (CS229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world." - Laura Hamilton, Forbes

Machine learning(ML) techniques are being applied in a variety of fields, and data scientists are being sought after in many different industries. With machine learning, we identify the processes through which we gain knowledge that is not readily apparent from data in order to make decisions. Applications of machine learning techniques may vary greatly, and are found in disciplines as diverse as medicine, finance, and advertising.

In this chapter, we'll present different machine learning approaches, techniques, some of their applications to real-world ...

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