Feeds: iCal | RSS | JSON | CSV (as of 02/19/2019)
Login | Need an account?

Bay AI Meeting

Setup Time:
15 minutes
Start:
Friday, February 15, 2019 at 07:00pm
End:
Friday, February 15, 2019 at 08:30pm
Teardown Time:
15 minutes
Member:
Type:
Lecture
Estimated size:
80
Fee:
Rooms:
Large Event Room

Details:
[High School Group]

Linear Regression
Big picture of where Linear Regression fits in with respect to AI, Deep Learning, and Machine Learning
Linear Regression basic idea
Y = mx + b
What it outputs
Model Architecture
Briefly speak about how we can use matrices to describe linear regression
Loss functions
Type of loss function we are using for Linear Regression
Gradient Descent
Derivatives
Gradient is direction of steepest descent
Variations to Gradient Descent
Stochastic Gradient Descent, Mini Batch Stochastic Gradient Descent
Math behind linear regression (derive loss function)

Notes:


Member RSVP

Hacker Dojo members may login to reserve space in the event room up to 48 hours before the event.

Member RSVP does not imply event registration if applicable.