Alexandria Library

A curated collection of awesome articles

Here are some ressources related to Machine learning, Decision trees, Neural networks. Hoping you will find learning material, alternative tools or just some interesting stuff.

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Articles

MGL: Common Lisp machine learning library

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Decision Trees in Python: Predicting Diabetes

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Why do tree-based models still outperform deep learning on tabular data?

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How to Visualize Decision Trees

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An overview of the theory of overparameterized machine learning

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Gradient Boosted Decision Trees

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Calculating the sample size required for developing a clinical prediction model

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HiPlot: High-dimensional interactive plots made easy

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The Case for Bayesian Deep Learning

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Random Forest vs. Neural Network

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Random Forests for Complete Beginners

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How to visualize decision trees

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A Visual Introduction to Machine Learning – Part II

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Introduction to Decision Tree Learning

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A Brief Introduction to Machine Learning for Engineers (2017)

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TensorFlow Feature Columns

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Show HN: Boltzmann Machines in TensorFlow with Examples: RBM, DBM, AIS

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Show HN: Xcessiv – Fully managed web application for automated machine learning

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Stanford Lecture Notes on Probabilistic Graphical Models

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Gradient Boosting Explained in 3D

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A Gentle Introduction to Randomized Decision Forests

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The Unreasonable Effectiveness of Random Forests

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Do We Need Hundreds of Classifiers to Solve Real World Classification Problems? [pdf]

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Machine Learning Video Library

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Machine Learning Video Library - Learning From Data (Abu-Mostafa)

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Stanford Class: Probabilistic Graphical Models

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Generalized K-Means Clustering

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Why do tree-based models still outperform deep learning on tabular data? (2022)

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Show HN: We've open-sourced our LLM attention visualization library

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