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!
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!
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!
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!