What is MIT OpenCourseWare?
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.
Category: Articles
In this category you will find interesting articles about Machine Learning and Data Science, both written by us or fished online.
We have tried to cover a wide variety of topics, and we will keep posting here regularly, so be sure to follow us!
Bayes Rule in Machine Learning
Bayes Rule: One of the most important concepts of probability and its use in Machine Learning. Learn all about it!
Bayes Theorem Explained: Probability for Machine Learning
Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!
Deep Learning for NLP: Creating a Chatbot with Python & Keras!
Learn how Deep Learning can be used for NLP and create a simple Chatbot with Python and Keras.
A Quick List of Machine Learning Algorithms
Looking for a tidy but accesible list of the main Machine Learning algorithms and models? Then read on!
What is Transfer Learning?
What is Transfer Learning? Where can I use it? Why should I use it? What are some examples? Read On to find out!
Feature Scaling in Unsupervised Machine Learning
Learn why Feature Scaling is a fundamental part of building an unsupervised learning model with a clear example!
An Introduction to Feature Selection in Machine Learning
Learn what feature selection is, why it is important, and how you can use it.
Explainable Artificial Intelligence
Learn about Explainable Artificial Intelligence, how to create explainable Machine Learning models, and Interpretable AI!
Boosting in Machine Learning Explained: An Awesome Introduction!
A simple explanation of Boosting algorithms in Machine learning: what they are, why they are so powerful, and some examples. Read on!