Maximum Likelihood Estimation Courses and Certifications

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

IIT Kharagpur;  NPTEL

Mathematics for Machine Learning

Explore advanced mathematical concepts essential for developing robust machine learning algorithms, including optimization, regularization, and statistical modeling techniques.

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

IIT Kharagpur;  NPTEL

Statistical Learning for Reliability Analysis

Explore statistical learning techniques for reliability analysis, covering probability distributions, sampling, inference, hypothesis testing, and data classification with practical applications.

• Swayam
• 12 weeks
• 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

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

Society for Industrial and Applied Mathematics

Model Invariants and Functional Regularization

Explore model invariants and functional regularization in quantitative finance. Learn about regression, MLE, Bayesian estimation, and new approaches to improve model robustness and interpretability in data analysis.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

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

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

Linear Regression Analysis and Forecasting

Learn regression analysis techniques for modeling, hypothesis testing, and forecasting using MINITAB software. Covers simple and multiple linear regression, parameter estimation, diagnostics, and practical applications.

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

Multivariate Statistical Analysis

Comprehensive exploration of multivariate statistical techniques, covering theory, problem-solving, and implementation in R and Excel. Ideal for data analysis across various fields.

• YouTube
• 13 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

statisticsmatt

Parameter Estimation

Explore various parameter estimation methods, their optimality properties, and key statistical concepts like sufficient statistics, Bayesian estimation, and Fisher's information.

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

Professor Knudson

Regression

Explore point estimation, maximum likelihood, and distribution for regression coefficients, focusing on ordinary least squares and slope estimator analysis.

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

Professor Knudson

Maximum Likelihood Estimation

Explore maximum likelihood estimation through examples of binomial, Poisson, and uniform distributions, enhancing statistical analysis skills.

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