April 2024
Beginner
216 pages
7h 11m
English
Content preview from Inside AI
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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 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.