3 AI mastery: Essential techniques, Part 2
This chapter covers
- An introduction to data mining
- An overview of the artificial neural networks
- A description of deep learning
- An introduction to Bayesian networks
- An overview of unsupervised learning
AI expert Arthur Samuel, introduced in chapter 1 for the success of his 1959 checkers program, defined machine learning as the field of study that gives computers the ability to learn without being explicitly programmed. “Without being explicitly programmed” can be misleading, as learning is achieved with techniques such as data mining and neural networks, which rely on algorithms explicitly programmed by engineers.
In this chapter, we will explore data mining, a technique used to extract valuable ...
Get Inside AI now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
