Machine Learning Algorithms Unpacked
Subscribe
Sign in
Home
Notes
Archive
Leaderboard
About
Neural networks 101
Weights, biases, forward passes, backpropagation, and a missing ingredient...
Aug 24
•
Ameer Saleem
6
1
Shannon entropy: how to measure information mathematically
A deep dive into self-information and information entropy with a few thought experiments.
Feb 23
•
Ameer Saleem
14
Choosing the right performance metrics for classification models
Understanding, accuracy, precision, recall, etc. using the confusion matrix, and describing example use cases for each.
Apr 13
•
Ameer Saleem
7
1
Latest
Top
Discussions
Stochastic Gradient Descent vs Mini-batch descent for neural networks
Exploring how Stochastic Gradient Descent (SGD) and mini-batch gradient descent can help reduce the issues of good ol' standard gradient descent.
Sep 21
•
Ameer Saleem
6
1
Backpropagation explained with examples
Gradient descent, partial derivatives and the chain rule. Get your pen and paper at the ready! And maybe a few different colours too...
Sep 7
•
Ameer Saleem
2
1
Introducing non-linearity in neural networks with activation functions
Sigmoid, tanh, ReLU, LReLU, ELU and softmax.
Aug 31
•
Ameer Saleem
17
2
Loss functions for ML regression models
Mean Squared Error, Mean Absolute Error and the Huber loss.
Aug 17
•
Ameer Saleem
6
What is the cross-entropy loss for an ML classifier?
How to measure model performance with loss functions.
Aug 10
•
Ameer Saleem
4
Formula 1: data-driven in more ways than one
How predictive modelling and high-quality data ingestion help inform F1 team strategy, and even intentional self-sabotage!
Aug 3
•
Ameer Saleem
7
Git happens: resolving merge conflicts for machine learners, and stashing uncommitted changes
Dealing with merge conflicts, and how to stash changes when you're not yet ready to commit your code.
Jul 27
•
Ameer Saleem
1
See all
Recommendations
The Palindrome
Tivadar Danka
3Blue1Brown mailing list
Grant Sanderson
Redwood’s Substack
Redwood Founders
💎DiamantAI
Nir Diamant
Probability and Statistics Substack
Probability and Statistics
Machine Learning Algorithms Unpacked
About
Archive
Recommendations
Sitemap
