## The best Books to Learn Machine Learning in 2021

In this post, we will compare what for us are three of the best books to learn Machine Learning in 2021. Which one will win?

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# Tag: Machine Learning

## The best Books to Learn Machine Learning in 2021

## Naive Bayes Explained

## The Lift Curve Code

## The Guide to Evaluating Machine Learning models

## ROC Curve Python

## The Lift Curve in Machine Learning

## ROC Machine Learning Explained

## What is AutoML in Machine Learning?

## Feature Engineering for Machine Learning

## Bayes Theorem Explained: Probability for Machine Learning

In this post, we will compare what for us are three of the best books to learn Machine Learning in 2021. Which one will win?

Naive Bayes Explained: A simplification of the Bayes Theorem for Machine Learning applications. Learn all about it with this article!

The code to plot the Lift Curve in Python This little code snippet implements the function which allows you to plot the Lift Curve in Machine learning using Mat...

Learn the keys to evaluating Machine Learning models and improving their performance with this great article!

The definitive ROC Curve in Python code Learn the ROC Curve Python code: The ROC Curve and the AUC are one of the standard ways to calculate the performance of ...

Learn about the Lift Curve in Machine Learning, a great metric to asses the performance of our classification algorithms 👈

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

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

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