Maximum Likelihood Estimation Courses and Certifications

Professor Knudson

Maximum Likelihood Estimation

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

• YouTube
• 30 minutes
• Self-Paced
• 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/week
• Self-Paced
• Free Online Course (Audit)

情报监视侦察信息融合技术

Dive into intelligence surveillance reconnaissance and information fusion techniques, covering sensor technologies, tracking systems, and advanced image processing methods for military applications.

• XuetangX
• Self-Paced
• Free Online Course

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/week
• Self-Paced
• Free Online Course (Audit)

Statistical Estimation for Data Science and AI

92 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 5 hours 23 minutes
• Self-Paced
• Paid Course

Statistics for Applications

1 rating

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

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Bayesian Statistics: Mixture Models

63 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
• Self-Paced
• Paid Course

Credential

Practical Machine Learning: Foundations to Neural Networks

Master probability, statistics, and neural networks to build rigorous machine learning models from linear regression to deep learning applications.

• Coursera
• 12 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Statistical Data Analysis for Scientists and Engineers

Extend your knowledge and skills from univariate and bivariate statistical analysis to multivariate methodology and data analysis.

• edX
• 12 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

Generative AI: Foundations and Concepts

Explore the mathematical foundations of generative AI, from neural networks to advanced deep learning models, with practical implementation techniques and applications in engineering.

• Coursera
• 21 hours 36 minutes
• Self-Paced
• Paid Course

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

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

Mathematical Statistics for Data Science

422 ratings at Udemy

Ex-Google data scientist's guide to mathematical statistics, covering method of moments, maximum likelihood, and more

• Udemy
• 4 hours 14 minutes
• Self-Paced
• Paid Course