## ROC Machine Learning Explained

Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!

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# Category: Articles

## ROC Machine Learning Explained

## Bayes Theorem Calculation: The maths of Machine Learning

## What is AutoML in Machine Learning?

## What is Scikit Learn?

## The Maximum Likelihood Principle in Machine Learning

## What is MIT OpenCourseWare?

## Bayes Rule in Machine Learning

## Bayes Theorem Explained: Probability for Machine Learning

## Deep Learning for NLP: Creating a Chatbot with Python & Keras!

## A Quick List of Machine Learning Algorithms

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!

Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!

Learn all the detail about the Bayes Theorem calculation process for Machine Learning applications with a great and easy example!

Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅

Learn what Scikit-Learn, the most famous Python Machine Learning Library is!

The Maximum Likelihood principle and how it is used in the Machine Learning world explained with an easy example.

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: One of the most important concepts of probability and its use in Machine Learning. Learn all about it!

Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!

Learn how Deep Learning can be used for NLP and create a simple Chatbot with Python and Keras.

Looking for a tidy but accesible list of the main Machine Learning algorithms and models? Then read on!