[Online] Review/Discussion: Part I Mathematical Foundations Reading Session

We have completed reading all chapters of Part I – congrats to all participants! This particular meetup is a remote review session of Part I: Mathematical Foundations. We'll discuss some interesting parts from the past chapters and answer open questions.

Please refer to the MML Book “Mathematics For Machine Learning” by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, to be published by Cambridge University Press. https://mml-book.github.io/

Join Zoom Meeting
https://zoom.us/j/386463436

The session will be recorded.

You can find more information about the book, the sessions and how to join the communication channels here https://machinelearningtokyo.com/2019/11/28/ml-math-reading-sessions/

The goal is to be more disciplined and create a new collaborative and interactive way of studying. More than 800 people from all over the world expressed their interest to be part of this, and luckily, we have found a great international leadership team that will lead the sessions in different time zones from January.

📌 Table of Contents

● Part I: Mathematical Foundations

• Introduction and Motivation
• Linear Algebra
• Analytic Geometry
• Matrix Decompositions
• Vector Calculus
• Probability and Distribution
• Continuous Optimization

● Part II: Central Machine Learning Problems

• When Models Meet Data
• Linear Regression
• Dimensionality Reduction with Principal Component Analysis
• Density Estimation with Gaussian Mixture Models
• Classification with Support Vector Machines

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