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Machine Learning

Probability vs. Likelihood
Here's the key difference.
 • 
Avi Chawla
3
11 Types of Variables in a Dataset
Beyond features, targets, etc.
 • 
Avi Chawla
3
Introduction to CUDA Programming
Uncovering the internal workings of model.cuda().
 • 
Avi Chawla
How to Actually Use Train, Validation and Test Set
Explained with an intuitive analogy.
 • 
Avi Chawla
Training and Inference Time Complexity of 10 ML Algorithms
...in a single frame.
 • 
Avi Chawla
Deploy ML Models from Your Jupyter Notebook
Deployment has possibly never been so simple.
 • 
Avi Chawla
1
A Simple Technique to Understand TP, TN, FP and FN
An intuitive guide to binary classification prediction labeling.
 • 
Avi Chawla
4
1:44
Regularize Neural Networks Using Label Smoothing
Make your model less overconfident.
 • 
Avi Chawla
Active Learning
Avoid tedious annotation tasks.
 • 
Avi Chawla
2
Most Important Plots in Data Science
...in a single frame.
 • 
Avi Chawla
Use Histograms with Caution
They can be misleading.
 • 
Avi Chawla
25 Most Important Mathematical Definitions in Data Science
...in a single frame.
 • 
Avi Chawla
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