ROC Machine Learning Explained
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
Tag: Machine Learning
What is AutoML in Machine Learning?
Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅
Feature Engineering for Machine Learning
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Feature Engineering for Machine Learning: The following is a review of t...
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!
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...