Mathematics for Machine Learning -- Gaussian Mixture Models -- Hybrid

Mathematics for Machine Learning
Density Estimation with Gaussian Mixture Models

Only two chapters left in our book club to discuss the classic Mathematics for Machine Learning. This a fantastic book to deepen your understanding of the math that underlies most of ML. A PDF copy of the book is available at https://mml-book.github.io/.

This session will discuss chapter 11. We are past the theory chapters, and this is chapter connects concepts to discuss Gaussian mixture models. New people are welcome to join.

Please join us in person or online. To get the most out of this session, try to read the chapter and come to the meetup with a question.

* Please make sure to read the instructions for joining the event below.

Agenda:

• 12:00 - 1:30 pm -- Discuss chapter
• Time permitting -- Additional Q&A, networking

Links to notes/slides and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLearning/bookclub

Location:
We are continuing to look for an ideal in-person site. For now, we will be meeting inside the ALX Apartments downtown.

Please Note: There are two steps required to join the online meetup:

• You must go to our Slack community and ask for the password for the meeting. Link to join is below.
• You must have a Zoom login in order to join the event. A free Zoom account will work. If you get an error message joining the Zoom, please login to your account on the Zoom website then try again.
• Use this Zoom link: https://us06web.zoom.us/j/82891977558

Community:
Join our slack channel for questions and discussion about what's new in ML:
https://join.slack.com/t/sdmachinelearning/shared_invite/zt-33z4811de-F_YKuCsQH1ev3TLSnQQfgQ