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!
Tag: Machine Learning
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!
The Python Fast AI Book
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD The following is a review of the great fastai python book by Jeremy Howard &...
Practical Natural Language Processing
Practical Natural Language Processing Book: The Natural Language Processing book for everybody. Read our review and find out why!
Pattern Recognition and Machine Learning: The Textbook
What is Pattern Recognition? How is it related to Machine Learning? Answer these questions and a lot more with the famous book Pattern Recognition and Machine L...
Grokking Deep Learning
An amazing introduction to how Deep Learning works under the hood, a small glance of what is inside the black box of Artificial Neural Networks: Grokking Deep L...
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!