Maximum Likelihood Estimation Courses and Certifications

Fields Institute

Invariant Theory for Maximum Likelihood Estimation

Explore connections between maximum likelihood estimation and invariant theory stability in log-linear and Gaussian group models, with applications to statistical modeling.

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

NPTEL-NOC IITM

Maximum Likelihood Estimate for Logistic Regression

Explore maximum likelihood estimation for logistic regression, covering likelihood functions and gradient descent techniques.

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

Statistical Inference and Modeling for High-throughput Experiments

9 ratings at edX

A focus on the techniques commonly used to perform statistical inference on high throughput data.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

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

Statistics for Applications

1 review

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• On-Demand
• Free Video

Statistical Inference for Estimation in Data Science

81 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 4 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Bayesian Statistics: Mixture Models

56 ratings at Coursera

Explore mixture models in Bayesian statistics, covering concepts, estimation methods, and practical applications. Gain hands-on experience with R software for real-world data analysis.

• Coursera
• 21 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

Databricks

Introduction to Bayesian Statistics

87 ratings at Coursera

Learn probability, Bayesian modeling, and inference using Python and Jupyter notebooks. Gain hands-on experience with distributions, sampling algorithms, and computational statistics techniques.

• Coursera
• 12 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

Probability and Statistics III: A Gentle Introduction to Statistics

Explore probability distributions, statistical concepts, and estimation methods. Learn about normal distribution, Central Limit Theorem, and sampling distributions for practical applications in data analysis.

• edX
• 4 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Modelling and estimation

1 rating 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

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

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