Artificial intelligence is changing our lives in ways we need to understand. Algorithms govern how we find information, how we learn, how we move, how we buy, what we buy, how we stay healthy, how we meet, whom we meet, how we are treated and what we are treated with. Marketing, analytics, diagnostics, manufacturing, driving, searching, speaking, seeing, hearing are all being disrupted and reshaped by machines that learn. Algorithms that can operate at the speed and scale that data is now generated are now making, what once was impossible, a practical reality.
The goal of this book is to get you up to speed on what drives the artificial intelligence you encounter today so you can understand what makes this field of computer science different from the software engineering of the past. It is aimed at executives who would like to use machine learning in their business and want to understand the underlying mechanics, and for anyone else who wants to understand more about the architectures driving artificial intelligence and machine learning.
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A simple intro into machine learning. Not bad. Confirmed my statement that the key smarts of being a machine learning expert is in feature engineering.
This entire review has been hidden because of spoilers.
If you look for Depp insights, turn around, go on the internet and find more suitable. but as an overview book this provides an insightful first look into machine learning and math behind it. Basic concepts well presented - that's how this can be summarized.