About this Book
Real-World Machine Learning is a book for people who want to apply machine learning (ML) to their own real-world problems. It describes and explains the processes, algorithms, and tools that mainstream ML comprises. The focus is on the practical application of well-known algorithms, not building them from scratch. Each step in the process of building and using ML models is presented and illustrated through examples that range from simple to intermediate-level complexity.
Roadmap
Part 1, “The machine-learning workflow,” introduces each of the five steps of the basic machine-learning workflow with a chapter:
- Chapter 1, “What is machine learning?” introduces the field of machine learning and what it’s useful for.
- Chapter 2 ...
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