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Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
Sep 8
•
Avi Chawla
13
1
Implementing a Siamese Network with Contrastive Learning
Full guide with code.
Aug 28
•
Avi Chawla
4
2
1
Implement Knowledge Distillation from Scratch
(must-know to efficiently run ML models in production)
May 18
•
Avi Chawla
7
Train Classical ML Models on Large Datasets
Extend the Bagging objective to any ML algorithm.
May 5
•
Avi Chawla
5
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Apr 3
•
Avi Chawla
7
1
CPU vs GPU vs TPU vs NPU vs LPU
...explained visually!
Mar 26
•
Avi Chawla
14
1
1
How to Actually Use Train, Validation, and Test Sets in ML
...explained visually!
Mar 13
•
Avi Chawla
7
1
16 Techniques to Optimize Neural Network Training
...explained in a single frame.
Mar 4
•
Avi Chawla
4
How are QQ Plots Created?
Creating one from scratch.
Feb 18
•
Akshay Pachaar
7
Prevent Data Leakage in ML Pipelines
...explained visually.
Feb 10
•
Avi Chawla
2
Phases of ML Modeling
... that every ML engineer should know
Jan 30
•
Akshay Pachaar
9
4
Introduction to Quantile regression
...explained with code.
Jan 26
•
Avi Chawla
9
1
1
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