Maximum Likelihood Estimation Courses and Certifications

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
• Self-Paced
• 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
• Self-Paced
• Free Certificate

Statistics for Finance

396 ratings at Udemy

Learn core probability and statistics with Python tools and real applications in finance and business

• Udemy
• 1 day 17 hours 30 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Tom Rocks Maths

How to Be More Productive Using Mathematics

Discover how mathematical concepts like Poisson distribution and vector calculus can boost your productivity, explained by an Oxford mathematician using real-world applications and advanced modeling techniques.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Multinomial Regression Model - Part I: Introduction to MRM and Multinomial Logit Model

Explore multinomial regression models, including types and the multinomial logit model. Learn key concepts and applications in statistical analysis.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Qualitative Response Models: Logit and Types - Part II

Explore types of qualitative response models, focusing on logit models and their applications in statistical analysis.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Qualitative Response Models: Logit and Probit - Part IV

Explore logit and probit models as examples of qualitative response models, gaining insights into their applications and interpretations.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Qualitative Response Models: Logit and Probit - Part III

Explore logit, probit, and qualitative response models for analyzing categorical data and predicting discrete outcomes.

• YouTube
• 27 minutes
• Self-Paced
• Free Video