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All LessonsFree Lessons (4)

Introduction to Bayesian Statistics

An Overview of the Course An Introduction to Statistics Frequentist vs. Bayesian Statistics Maximum Likelihood Estimation and Its Applications Bayes’ Theorem Posteriority and Bias in Probability Applications of Bayes’ Theorem in Software Engineering Advantages of Bayes’ Theorem over Deterministic Statistics Bayes’ Theorem in Machine Learning

Course Assessment

Bayesian Statistics: Knowledge Check

Bayesian Machine Learning

What is Machine Learning?Incorporating Bayes’ Theorem in Machine Learning Techniques to Estimate Model Parameters Gaussian Processes Regression using Bayes’ Theorem Understanding the Theory of Bayesian Regression Application of Bayesian Regression

Course Assessment

Regression Using Bayes’ Theorem: Knowledge Check

Optimization: An Overview

Introduction to Optimization Linear Optimization Optimization Methods: Random Search Optimization Evolutionary Algorithms Optimization: Bayesian Methods Optimization Use Cases in Software Engineering

Course Assessment

Optimization: Knowledge Check

Bayesian Optimization: From Scratch

Components of Bayesian Optimization Business Case Study: Optimizing Packaging Coding: Bayesian Optimization from Scratch Black Box Bayesian Optimization Important Libraries and Frameworks Bayesian Optimization Using Dragonfly Getting to Know Dragonfly Better Comparing Bayesian Optimization with Other Optimization Methods Coding Challenge: Bayesian Optimization

Mini Project

Hyperparameter Tuning Using Bayesian Optimization

Conclusion

Project

Overcoming Uncertainty with Bayesian Probability in Python

Bayesian Machine Learning for Optimization in Python

Wrap Up

Wrapping up a wonderful course

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