Description

This book aims to be an introduction to big data, artificial intelligence and data science for anyone who wants to learn more about those domains. It is neither a fully technical book nor a strategic manual, but rather a collection of essays and lessons learned doing this job for a while.

In that sense, this book is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The structure of the chapter is very similar, so I hope the reader won’t find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for.

I personally recommend reading the first three-four chapters in a row to have a general overview of the technologies and then jump around depending on what topic interests you the most.