In this post we will be talking about the MIT OpenCourseware or MIT OCW, a great platform to learn your favourite Machine Learning topics online.
Bayes Rule: One of the most important concepts of probability and its use in Machine Learning. Learn all about it!
Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!
Looking for a tidy but accesible list of the main Machine Learning algorithms and models? Then read on!
What is Transfer Learning? Where can I use it? Why should I use it? What are some examples? Read On to find out!
Learn why Feature Scaling is a fundamental part of building an unsupervised learning model with a clear example!
Learn about Explainable Artificial Intelligence, how to create explainable Machine Learning models, and Interpretable AI!