Maximum Likelihood Estimate for Logistic Regression
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
Explore the concept of Maximum Likelihood Estimate (MLE) for Logistic Regression in this concise 10-minute video lecture. Delve into the fundamentals of MLE, understand the Likelihood Function, and learn about Gradient Descent techniques. Gain valuable insights into the mathematical foundations of logistic regression and its practical applications in statistical modeling and machine learning.
Syllabus
Maximum Likelihood Estimate for Logistic Regression
Taught by
NPTEL-NOC IITM
Related Courses
Practical Predictive Analytics: Models and MethodsUniversity of Washington via Coursera Deep Learning Fundamentals with Keras
IBM via edX Introduction to Machine Learning
Duke University via Coursera Intro to Deep Learning with PyTorch
Facebook via Udacity Introduction to Machine Learning for Coders!
fast.ai via Independent