The Guide to Evaluating Machine Learning models
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
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!
The Lift Curve in Machine Learning
Learn about the Lift Curve in Machine Learning, a great metric to asses the performance of our classification algorithms 👈
ROC Machine Learning Explained
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
Bayes Theorem Calculation: The maths of Machine Learning
Learn all the detail about the Bayes Theorem calculation process for Machine Learning applications with a great and easy example!
What is AutoML in Machine Learning?
Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅
What is Scikit Learn?
Learn what Scikit-Learn, the most famous Python Machine Learning Library is!
The Maximum Likelihood Principle in Machine Learning
The Maximum Likelihood principle and how it is used in the Machine Learning world explained with an easy example.
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.
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!