Bootstrapping Machine Learning: Book Review

Last Updated on June 7, 2016

Louis Dorard has released his book titled Bootstrapping Machine Learning. It’s a book that provides a gentle introduction to the field of machine learning targeted at developers and start-ups with a focus on prediction APIs.

I just finished reading this book and I want to share some my thoughts. If you are interested, I have already reviewed the sample Louis provides on his webpage that covers the first two chapters.

Bootstrapping Machine Learning

Overview

The book is broken down into eight chapters, as follows.

1. Introduction
2. Machine Learning and Artificial Intelligence
3. Concepts
4. Examples
5. Applying Machine Learning to Your Domain
6. Prediction APIs
7. Case Study: Priority Inbox
8. Wrap-up

Prediction APIs

Louis provides a taxonomy of prediction APIs in Chapter 3. I’m not clear whether it is his own taxonomy or a general breakdown that is used in the field, but I found it useful nevertheless. He classifies prediction APIs as follows:

• Specialized AP‭Is: These are APIs that solve
  To finish reading, please visit source site