Daily Dose of Data Science

Daily Dose of Data Science

Intuitive Guides

Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
 • Avi Chawla
A Simple Implementation of Boosting Algorithm
...covered with design principles for Boosting.
 • Avi Chawla
Cyclical Feature Engineering
...explained with usage and code.
 • Avi Chawla
Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
 • Avi Chawla
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
 • Avi Chawla
What is (was?) GIL in Python?
...explained with visuals and code.
 • Avi Chawla
6 Graph Feature Engineering Techniques
Must-know for building GNNs.
 • Avi Chawla
Prompting vs. RAG vs. Finetuning
Which one is best for you?
 • Avi Chawla
2 Techniques to Synchronize ML Models in Multi-GPU Training
...explained visually.
 • Avi Chawla
DropBlock vs. Dropout for Regularizing CNNs
Addressing a limitation of Dropout when used in CNNs.
 • Avi Chawla
Faster Neighbor Search Using Inverted File Index
...actively used in vector DBs.
 • Avi Chawla
5 Chunking Strategies For RAG
...explained in a single frame.
 • Avi Chawla
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