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Jon Krohn

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Jon Krohn

Machine Learning Foundations

Added on May 12, 2020 by Jon Krohn.

I’m very excited to announce the beginning of a new journey called the Machine Learning Foundations series. As discussed in the video announcement above, this series will initially consist of eight 3.5-hour classes offered within the O’Reilly online learning platform from late May through early September:

  1. May 28th — Intro to Linear Algebra

  2. June 4th — Linear Algebra II: Matrix Operations

  3. June 11th — Calculus I: Limits & Derivatives

  4. June 25th —Calculus II: Partial Derivatives & Integrals

  5. July 8th —Probability & Information Theory

  6. July 23rd —Intro to Statistics

  7. August 12th —Algorithms & Data Structures

  8. early September — Optimization

Each class will feature:

  • Rich, full-color illustrations

  • Hands-on code demos in Python

  • Fully worked-through pencil-and-paper questions and solutions

There are 605 seats available in each class. At the time of posting:

  • The first two classes (on algebra) have fewer than ten seats each

  • The second pair of classes (on calculus) have fewer than a hundred

  • Registration for the fifth and sixth class is open and seats are filling up quickly.

As I have bandwidth, I will be publishing all of this content as free YouTube video tutorials, so if you’ve missed the classes, don’t worry! I will also probably be offering the classes again at some point, and eventually all of the content will be brought together neatly as a book.

You can read more about the Machine Learning Foundations series — including a detailed syllabus for each class and the developing body of open-source code — in GitHub here.

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