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Big Data Storage
Notes on Big Data Storage - Concepts and Architecture
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Introduction to Realtime and Big Data Analytics
Notes on Big Data (the 5 V's & data types) and the Four Categories of Data Analytics (Descriptive, Diagnostic, Predictive, and Prescriptive).
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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.