October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Machine Learning Basics
Artificial Intelligence (AI) is rooted in mathematics and statistics. When creating an Artificial Neural Network (ANN), we're conducting mathematical operations on data represented in linear space; it is, by nature, applied mathematics and statistics. Machine learning algorithms are nothing but function approximations; they try and find a mapping between an input and a correct corresponding output. We use algebraic methods to create algorithms that learn these mappings.
Almost all machine learning can be expressed in a fairly straight-forward formula; bringing together a dataset and model, along with a loss function and optimization technique that are applicable to the dataset and model. This section is intended as ...
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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.