Preface
Welcome to AI and Machine Learning for Coders, a book that I’ve been wanting to write for many years but that has only really become possible due to recent advances in machine learning (ML) and, in particular, TensorFlow. The goal of this book is to prepare you, as a coder, for many of the scenarios that you can address with machine learning, with the aim of equipping you to be an ML and AI developer without needing a PhD! I hope that you’ll find it useful, and that it will empower you with the confidence to get started on this wonderful and rewarding journey.
Who Should Read This Book
If you’re interested in AI and ML, and you want to get up and running quickly with building models that learn from data, this book is for you. If you’re interested in getting started with common AI and ML concepts—computer vision, natural language processing, sequence modeling, and more—and want to see how neural networks can be trained to solve problems in these spaces, I think you’ll enjoy this book. And if you have models that you’ve trained and want to get them into the hands of users on mobile, in the browser, or via the cloud, then this book is also for you!
Most of all, if you’ve been put off entering this valuable area of computer science because of perceived difficulty, in particular believing that you’ll need to dust off your old calculus books, then fear not: this book takes a code-first approach that shows you just how easy it is to get started in the world of machine learning ...
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