List: ML: Foundations | Curated by Antonio Esteves

Jan 25, 2025
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ML: Foundations
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TDS Archive
by
Ryan D'Cunha
A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize)Investigating Geoffrey Hinton’s Nobel Prize-winning work and building it from scratch using PyTorch
Jan 23
8
Jan 23
8
In
AI Mind
by
Francesco Franco
Random Weight Initialization (Vanishing and Exploding Gradients)Neural networks must be initialized before one can start training them. As with any aspect of deep learning, however, there are many ways…
Dec 7, 2024
1
Dec 7, 2024
1
In
Towards AI
by
Benjamin Bodner
How Meta Optimizes Their Hyperparameters With NevergradThe optimization platform which rules them all
Oct 14, 2024
3
Oct 14, 2024
3
In
Towards AI
by
Benjamin Bodner
Hyperparameter Optimization in PyTorch Using Optuna with PruningThis is how you 10X training speed and boost your model’s performance.
Sep 23, 2024
1
Sep 23, 2024
1
In
TDS Archive
by
Zackary Nay
The Math Behind Kernel Density EstimationExploring the foundations, concepts, and math of kernel density estimation
Sep 17, 2024
3
Sep 17, 2024
3
In
TDS Archive
by
Haden
Data Scaling 101: Standardization and Min-Max Scaling ExplainedWhen to use MinMaxScaler vs StandardScaler vs something else
Aug 10, 2024
1
Aug 10, 2024
1
In
Python in Plain English
by
Jyoti Dabass, Ph.D.
Mastering ROC and AUC Curve: A Beginner’s Guide with a Simple Real-Life ExampleIn the world of data analysis and machine learning, evaluating the performance of binary classifiers is crucial for making informed…
Aug 5, 2024
Aug 5, 2024
 This story is no longer available
In
TDS Archive
by
Reza Bagheri
A Visual Understanding of Logistic RegressionAn intuitive visual explanation of the math behind logistic regression
May 9, 2024
2
May 9, 2024
2
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TDS Archive
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Cristian Leo
The Math Behind Batch NormalizationExplore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from scratch.
May 8, 2024
1
May 8, 2024
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Cristian Leo
The Math Behind XGBoostBuilding XGBoost from Scratch Using Python
Jan 10, 2024
5
Jan 10, 2024
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Abdulkader Helwan
Mixture of Experts-IntroductionMixture of Experts (MoE) is like a teamwork technique in the world of neural networks. Imagine breaking down a big task into smaller parts…
Aug 10, 2023
4
Aug 10, 2023
4
 This story is no longer available
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Artificial Intelligence in Plain English
by
Everton Gomede, PhD
Exploring Dataset Splitting Strategies: Techniques and Implementations in Python with Synthetic…Introduction
Nov 29, 2023
Nov 29, 2023
In
TDS Archive
by
Yoann Mocquin
Sklearn tutorial: module 2I took the official sklearn MOOC tutorial. Here are my takeaways.
Nov 25, 2023
Nov 25, 2023
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TDS Archive
by
Yoann Mocquin
Sklearn Tutorial: Module 1I took the official sklearn MOOC tutorial. Here are my takeaways.
Nov 22, 2023
1
Nov 22, 2023
1
In
The Modern Scientist
by
Everton Gomede, PhD
Gradient Descent: A Fundamental Optimization AlgorithmIntroduction
Oct 23, 2023
1
Oct 23, 2023
1
In
Heartbeat
by
Yennhi95zz
Hyperparameter Tuning in Machine Learning: A Key to Optimize Model PerformanceThe art of enhancing machine learning model performance through beginner-friendly hyperparameter tuning techniques
Sep 7, 2023
1
Sep 7, 2023
1
In
TDS Archive
by
Aashish Nair
Predicting the Functionality of Water Pumps with XGBoostAn end-to-end machine learning project inspired by the Data Mining the Water Table Competition
Jun 1, 2023
2
Jun 1, 2023
2
BizAnalytix Technologies
Latest anomaly detection methods using Machine LearningLatest anomaly detection methods using Machine Learning
Apr 13, 2023
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Apr 13, 2023
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