Understanding Machine Learning

Description

In this course, you will learn:

• Explain what machine learning is and how it relates to data science and artificial intelligence. Then, we'll understand key machine learning terms before moving on to the machine learning workflow for generating models.
• Let's go over the fundamentals of machine learning. By the end of this chapter, you will understand the many forms of machine learning and how to evaluate and improve your models.
• Begin with neural networks to unpack deep learning. Following that, we'll take a closer look at two common deep learning use-cases: computer vision and natural language processing. We'll finish the course by exploring the limitations and risks of machine learning.

Syllabus:

• What is Machine Learning?
• Machine Learning Models
• Deep Learning