Machine Learning: How Machines Learn

Overview

Learn how machines learn and how this powerful technology is transforming the world of work.

Machine learning, and its related subdomains of deep learning and neural networks, is one of the fastest growing fields of data science. It this course, we'll introduce you to machine learning in an accessible way. We'll look at its relationship with artificial intelligence, the processes and parts of machine learning and the different ways that machines can learn.

We'll also explore different realworld applications of this exciting technology and see how it's used to solve complex problems across a range of industries.

Learning Objectives

In the Introduction to Machine Learning course we'll explore:

• The AI and machine learning relationship
• How machines learn
• How machine learning is put to use in different industries.

By the end of the course, you'll have a firm grasp of the foundations of machine learning and analytics and how it is applied in various contexts to enhance processes and productivity as well as solve complex, realworld problems.

Why should I take this course

This Introduction to Machine Learning course covers the fundamental principles of machine learning, from what it involves and its relationship with AI, deep learning, and neural networks, to its application in fields as diverse as agriculture, search engine optimisation, physics, and autonomous vehicles.

Audience

The Introduction to Machine Learning is perfect for anyone interested in this field or for business managers and owners interested in ideas of machine learning could be applied in their own workplace context.