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Introduction to Realtime and Big Data Analytics
Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 1
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GPU Essentials - A Concise Technical Guide
A concise, technical guide to GPU architecture and CUDA, showing how massive parallelism is achieved through threads, blocks, SMs, and memory hierarchies.
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Wrapping Up Our ML Foundations Journey
A reflection on our exploration of machine learning fundamentals, from mathematical prerequisites to gradient boosting.
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Gradient Boosting in Practice
Practical insights and regularization techniques to make gradient boosting robust, efficient, and generalize well in real-world applications.
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BinomialBoost
See how the gradient boosting framework naturally extends to binary classification using the logistic loss.