Maximum Likelihood Estimation Courses and Certifications

Computational Genomics Summer Institute CGSI

Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture

Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.

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

Institute for Advanced Study

Towards Generalized Schubert Varieties and Anabelian Matroids

Delve into advanced geometric theories connecting Huh's matroid discoveries with Schubert varieties, exploring applications in statistics and combinatorics through mixed Eulerian numbers.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

UofU Data Science

Bayesian Learning and Maximum Likelihood Methods - Lecture 23

Explore probabilistic learning criteria through maximum a posteriori and maximum likelihood examples, enhancing your understanding of Bayesian learning fundamentals.

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

UofU Data Science

Logistic Regression - Machine Learning Lecture 25

Dive into logistic regression classification, exploring maximum likelihood, posterior criteria, and loss minimization principles for effective machine learning model development.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

UofU Data Science

Bayesian Learning: Maximum A Posteriori and Maximum Likelihood - Lecture 24

Delve into Bayesian learning principles, exploring maximum a posteriori and maximum likelihood learning criteria through practical examples and comprehensive demonstrations.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

UofU Data Science

Bayesian Learning and Maximum Likelihood Methods - Lecture 23

Explore probabilistic learning criteria through maximum a posteriori and maximum likelihood approaches, with practical examples of Bayesian learning applications.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

UofU Data Science

Logistic Regression - Machine Learning Lecture 24

Master logistic regression classification through maximum likelihood and maximum a posteriori criteria, building practical skills for effective machine learning model development.

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

UofU Data Science

Machine Learning Foundations - Logistic Regression

Master logistic regression fundamentals through hands-on practice, exploring core concepts, implementation techniques, and practical applications in machine learning and data analysis.

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

UofU Data Science

Maximum Likelihood Estimation for Regression in Machine Learning - Lecture 24

Dive into maximum likelihood estimation for regression through practical examples and explore its connection to loss minimization in Bayesian learning frameworks.

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

UofU Data Science

Hidden Markov Models - Parameter Estimation and Efficient Inference

Master parameter estimation and efficient inference techniques for Hidden Markov Models, exploring key algorithms and mathematical foundations for probabilistic sequence modeling and pattern recognition.

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

UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.

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

Actuarial Statistics 1

Comprehensive coverage of actuarial statistics, including probability distributions, data analysis, and statistical concepts. Includes calculator tutorials and R programming for practical application in actuarial work.

• YouTube
• 9 hours
• On-Demand
• Free Video

Statistical Inference

Comprehensive exploration of statistical inference, covering likelihood, hypothesis testing, Bayesian statistics, and non-parametric methods for robust data analysis and decision-making.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

statisticsmatt

Maximum Likelihood Estimation

Comprehensive exploration of Maximum Likelihood Estimation across various probability distributions, including practical applications using R for data generation and parameter estimation.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video