October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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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.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.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.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.
What this book covers
Chapter 1, The History of AI, begins by discussing the mathematical basis of AI and how certain theorems evolved. Then, we'll look at the research done in the 1980s and 90s to improve ANNs, we'll look at the AI winter, and we'll finish off with how we arrived at where we are today.
Chapter 2, Machine Learning Basics, introduces the fundamentals of machine learning and AI. Here, we will cover essential probability theory, linear algebra, and other elements that will lay the groundwork for the future chapters.
Chapter 3, Platforms and Other Essentials, introduces the deep learning libraries of Keras and TensorFlow and moves onto an introduction of basic AWS terminology and concepts that are useful for deploying your networks ...
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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.