### Bay AI Meeting

Setup Time:

15 minutes

Start:

Friday, March 01, 2019 at 07:00pm

End:

Friday, March 01, 2019 at 08:30pm

Teardown Time:

15 minutes

Member:

Type:

Lecture

Estimated size:

80

URL:

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)

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:

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.