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Logistic Regression and Generalized Linear Models

Offered By: Pascal Poupart via YouTube

Tags

Logistic Regression Courses Data Science Courses Machine Learning Courses Statistical Modeling Courses Generalized Linear Models Courses Newton's Method Courses

Course Description

Overview

Explore logistic regression and generalized linear models in this comprehensive lecture. Delve into key topics including the exponential family, probable discredited models, and Newton's method. Learn how to apply logistic regression for classification tasks and understand its role in app recommendation systems. Examine case studies and discover the importance of sparsity in model development. Gain valuable insights into these fundamental machine learning concepts and their practical applications.

Syllabus

Introduction
Recap
The exponential family
Probable discredited models
Logistic regression
Logistic regression and classification
Newtons method
Case study
App recommendation
Classification
Sparsity


Taught by

Pascal Poupart

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