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!
Tag: Machine Learning
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
The best Natural Language Processing book for everyone The following is a review of the book by Sawmya Vajjala, Bodhisattwa Majumder, Anuj Gupta & Harshit S...
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...
Grokking Deep Learning
An amazing introduction to how Deep Learning works under the hood, a small glance of what is inside the black box of Artificial Neural Networks: Grokking Deep L...
An Introduction to Feature Selection in Machine Learning
Learn what feature selection is, why it is important, and how you can use it.
Explainable Artificial Intelligence
Learn about Explainable Artificial Intelligence, how to create explainable Machine Learning models, and Interpretable AI!
An Introduction to Statistical Learning with Applications in R
Understand how to make sense of data with this amazing introduction to statistical learning! Looking for a guide to the world statistical learning? The followin...
Boosting in Machine Learning Explained: An Awesome Introduction!
A simple explanation of Boosting algorithms in Machine learning: what they are, why they are so powerful, and some examples. Read on!