ML Math Reading Session #6 (APAC)

Machine Learning Tokyo
Machine Learning Tokyo
Public group
Location image of event venue

Details

This is Session #6 of 11 fully remote Machine Learning Math Reading Sessions. We'll go through “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/776313762

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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