Maximum Likelihood Estimation Courses and Certifications

EDUCBA

Logistic Regression Fundamentals: Analyze & Predict

Master logistic regression fundamentals, from probability prediction to SAS implementation, building stable predictive models for data science and business analytics applications.

• Coursera
• 4 hours 38 minutes
• On-Demand
• Paid Course

Stanford CS236 - Deep Generative Models I 2023

Master probabilistic foundations and algorithms for deep generative models including VAEs, GANs, normalizing flows, and diffusion models with applications across AI domains.

• YouTube
• 23 hours 38 minutes
• On-Demand
• Free Video

Logistic Regression

Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Modelling and estimation

2 ratings at OpenLearn

This free course is concerned with modelling and estimation and looks in particular at the binomial distribution. Section 1 starts by defining probability, introduces relevant notation and briefly ...

• OpenLearn
• 16 hours
• On-Demand
• Free Certificate

Point estimation

1 rating at OpenLearn

This free course looks at point estimation, that is, the estimation of the value of the parameter of a statistical model by a single number, a point estimate for the parameter. Section 1 develops ...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Explore maximum likelihood estimation in Bayesian networks, covering parameter learning, probabilistic inference, and advanced concepts like regularization and Expectation Maximization.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Online Course

NPTEL;  IIT Bombay

Digital Communication using GNU Radio

Explore digital communication fundamentals using GNU Radio software. Design and analyze modern systems, from smartphones to optical fibers, with hands-on simulations and hardware interfacing.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Richard McElreath

Statistical Rethinking - Winter 2015

Discover Bayesian statistical methods and causal inference through comprehensive lectures that challenge traditional statistical thinking and build practical modeling skills.

• YouTube
• 1 day 2 hours 27 minutes
• On-Demand
• Free Video

CodeEmporium

Logistic Regression - Concept, Math and Code

Master logistic regression fundamentals through mathematical concepts, gradient descent, visualization techniques, and practical data preprocessing for ML applications.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

MITCBMM

Introduction to Optimization

Learn optimization techniques for machine learning, including likelihood estimation, gradient descent, and regularization, with practical examples and applications.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Logistic Regression - Continued

Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.

• YouTube
• 19 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Inverse Methods in Heat Transfer

Discover advanced techniques for solving inverse heat transfer problems using regularization, Bayesian inference, and physics-informed neural networks.

• YouTube
• 1 day 6 hours 3 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Wasserstein Distributionally Robust Optimization - Theory and Applications in Machine Learning

Explore Wasserstein distributionally robust optimization theory and its applications in machine learning, focusing on data-driven decision-making under uncertainty and statistical learning.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Your Dreams May Come True with MTP2 by Caroline Uhler

Explore multivariate totally positive distributions, their properties, and applications in various fields. Learn about density estimation, ML estimation, and practical uses in portfolio selection and gene networks.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Simons Institute

Recent Progress in High-Dimensional Learning

Explore recent advancements in high-dimensional learning, covering robust estimation, maximum likelihood, and algorithmic approaches for handling noise and adversarial scenarios.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video