Hands-on Machine Learning -- Training Models -- Hybrid

Hands-on Machine Learning
Training Models

We are launching a new introduction to machine learning book club series! We will use the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron. For learners willing to read and engage with the material each week, you will walk away knowing all of the basics of data science.

This session will discuss chapter 4 and begin to dive under the hood to understand a few models such as linear regression, polynomial regression, and logistic regression. We will also discuss gradient descent, the bias/variance tradeoff, and regularized linear models. New people are welcome to join.

Come join us in person or online. Please make sure to read the instructions for joining the event below.

Agenda:

• 12:00 - 1:30 pm -- Presentation and discussion
• 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/blob/master/hands-on-machine-learning-3.md

Location:
We are meeting at Aquillius in Rancho Bernardo.

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