Free online courseProbability for Machine Learning

Course Description

Dive into the fundamentals of probability with Probability for Machine Learning, an insightful course designed to enhance your understanding of how chance influences artificial intelligence. As part of the Machine Learning Foundations series, this course offers a deep dive into crucial concepts that underpin intelligent systems.

The journey begins with a brief history of probability theory, setting the stage for comprehending its role in modern machine learning applications. From the foundational ideas of what probability theory is to the exploration of events and sample spaces, this course provides a solid base for learners looking to deepen their knowledge.

Explore the concept of multiple independent observations, a key component in analyzing data, and venture into the world of combinatorics to understand the mathematics of counting, arrangement, and combination. The course also includes practical exercises on event probabilities, allowing you to apply your learning and test your understanding of probability in machine learning contexts.

Designed for those interested in the intersection of information technology and artificial intelligence, this course not only builds foundational knowledge but also empowers you with the skills needed to address complex probability scenarios in machine learning. Whether you're an aspiring data scientist or a seasoned professional looking to sharpen your skills, this course delivers valuable insights applicable across a wide range of AI applications.