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Books
Machine Learning
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Quantitative Finance
Optimizing the Machine: Gradient Descent and Loss Landscapes
Deep Learning Foundations: Artificial Neural Networks in Finance
Finding the Edge: Support Vector Machines and the Kernel Trick
Sequential Mastery: AdaBoost, Gradient Boosting, and Pseudo-Residuals
The Power of the Crowd: Bagging and Stacking in Financial Markets
Introduction to Options and the Nature of Convexity
Linear Derivatives II – Interest Rate Swaps
Linear Derivatives I – Futures & Forwards
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