Publisher's Synopsis
Are you completely new to the world of programming, and wondering if a path in machine learning is for you? Are you already a programmer in other fields, but you are intrigued by the possibilities the world of machine learning has to offer?
In this guide, Mike Cowley demystifies the world of machine learning and shows you what you need to do to become an expert in this field. Mike helps you get rid of information overload by providing clarity, helping you take the first steps into the exciting world of machine learning.
Among the insights contained in this guide, you're going to discover:
- Everything you need to know about Machine Learning as a beginner: What it really is, Its history, how it works and what the future looks like for ML practitioners (Hint: It's bright!)
- What you'll need to get started with machine learning as a beginner
- The machine learning toolbox you need if you want to become an effective programmer
- Myths about machine learning and artificial intelligence that widely popular but completely wrong
- How to effectively use machine learning to get rid of bottle-necks in high-impact industries
- The 7 types of machine learning used in modern computing
- The subtle, but important difference between machine learning and artificial intelligence
- ...and tons more!
