Daily Dose of Data Science
Subscribe
Sign in
Home
Sponsor
Premium
Archive
Leaderboard
About
Machine Learning
Latest
Top
Discussions
Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
Nov 7
•
Avi Chawla
2
Top Gradient Boosting Methods
...summarized for ML engineers.
Oct 24
•
Avi Chawla
4
1
KernelPCA vs. PCA for Dimensionality Reduction
...explained with visuals.
Oct 15
•
Avi Chawla
4
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Oct 14
•
Avi Chawla
1
Breathing KMeans vs KMeans
Robustify KMeans with centroid addition and removal.
Oct 7
•
Avi Chawla
3
Activation Pruning for Model Compression (with implementation)
Removing 74% neurons with 0.5% accuracy drop.
Oct 2
•
Avi Chawla
5
What is Contrastive Learning?
A popular ML interview question, explained with a use case.
Sep 25
•
Avi Chawla
3
L2 Regularization is NOT Just a Regularization Technique
A lesser-known usage of L2 regularization.
Sep 19
•
Avi Chawla
4
The Ideal Loss Function for Class Imbalance
...a popular ML interview question.
Sep 18
•
Avi Chawla
4
How Dropout Actually Works
A lesser-known detail of Dropout.
Sep 10
•
Avi Chawla
6
6 Graph Feature Engineering Techniques
Must-know for building GNNs.
Jul 31
•
Avi Chawla
5
2 Techniques to Synchronize ML Models in Multi-GPU Training
...explained visually.
Jul 10
•
Avi Chawla
1
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts
