Bayes Theorem Courses and Certifications

North China Electric Power University

Probability and Statistics

Master fundamental probability and statistical concepts, from basic axioms to hypothesis testing, with practical applications in engineering, data analysis, and decision-making processes.

• XuetangX
• On-Demand
• Free Online Course

IIT Madras;  NPTEL

Introduction to probability and Statistics

Explore fundamental concepts of data analysis, probability, and distributions in this foundational course, preparing you for advanced statistical studies.

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

Southwest Petroleum University

College Mathematics Series Courses II ——Linear algebra & probability and statistics

Master essential mathematical concepts from linear algebra, data analysis, and probability theory for practical problem-solving and systematic mathematical training.

• XuetangX
• On-Demand
• Free Online Course

Coding Train

The Monty Hall Problem

Explore the Monty Hall Problem through JavaScript and p5.js, learning probability concepts, DOM manipulation, and coding techniques while building an interactive simulation.

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

Professor Knudson

Probability Groundwork

Explore fundamental concepts of probability, including conditional probability, total probability law, Bayes' theorem, and independent events in this comprehensive introduction.

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

Stochastic Maps and Bayes' Theorem

Explore categorical probability theory through diagrammatic representations, focusing on stochastic maps, conditional probabilities, and Bayes' theorem.

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

Categorical Probability Theory

Explore Kleisli categories, probability theory, and stochastic maps. Learn about the Giry monad, Markov kernels, conditional probabilities, and Bayes' theorem in this advanced mathematical study.

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

Probability & Statistics

Comprehensive overview of key probability and statistics concepts, from permutations to distributions, enhancing analytical skills for data interpretation and decision-making.

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

Great Learning

Normal Distribution Probability - Standard Normal Distribution - Normal Distribution and Z Scores

Comprehensive exploration of normal distribution, probability, and sampling, covering key concepts and applications in various fields. Includes practical examples and problem-solving demonstrations.

• YouTube
• 2 hours 44 minutes
• On-Demand
• Free Video

Classic Biostatistics Videos

Comprehensive video series covering key biostatistics concepts for medical exams, including study designs, risk assessments, and diagnostic test evaluations.

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

Great Learning

Probability and Statistics - Bayes Theorem Probability - Normal Distribution Probability

Probability Theory and Statistics are very essential when it comes to data science or predictive modeling as they form the basis for decision making. Thus it becomes, extremely important for a data scientist to be good with probability.

• YouTube
• 2 hours 28 minutes
• On-Demand
• Free Video

Great Learning

Statistics for Machine Learning - Full Course

Comprehensive overview of statistical concepts for machine learning, covering probability, distributions, hypothesis testing, and practical implementation in R.

• YouTube
• 5 hours 21 minutes
• On-Demand
• Free Video

Serrano.Academy

Naive Bayes Classifier - A Friendly Approach

Visual explanation of Bayes' Theorem and Naive Bayes algorithm, applied to spam detection. Accessible approach requiring only basic math skills and a desire to learn.

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

Cool Math Series

Explore fascinating mathematical concepts, from knot theory to non-Euclidean geometry, in an accessible and engaging series designed for a wide audience.

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

E2EML - How Selected Models and Methods Work

Explore key machine learning algorithms and methods, including decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors, in this comprehensive video series.

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