Preface
Machine learning is one of the star disciplines at present. Acclaimed by the media as the future of work, it is said to be part of any significant tech investment in recent months, in a world where everything is driven by data and automation. It is used extensively across many fields such as image understanding, robotics, search engines, self-driving cars, and so on and the number of areas of application increases almost daily. In this book we will study the motivations and current techniques of machine learning using code and diagrams as the main conceptual vehicles, omitting outside the fundamental mathematical results.
We will start talking about the fundamental machine learning concepts, its branches, and types of problems. Then, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access