Luis worked as a postdoctoral researcher at the Laboratoire de Combinatoire et d’Informatique Mathématique at the University of Quebec at Montreal.
Today Luis is a research scientist in quantum artificial intelligence at Zapata Computing. He previously worked as a Machine Learning Engineer at Google, Lead Artificial Intelligence Educator at Apple, and Head of Content in Artificial Intelligence and Data Science at Udacity.
The opening chapters provide a good overview to Machine Learning before addressing linear regression. As with previous Grokking series books (below) readers will certainly be learning about supervised algorithms that classifying data.
However Luis is also addressing a much needed understanding of established methods to simplify data clean up in order to make reporting actionable. Likewise, an understanding the basics of Python will make this book’s examples easily understood. To his credit, Luis’ feels that anyone with high school algebra will be able to understand his book.