Published inDataDrivenInvestorPerformance Measures for Quantitative Portfolio and Strategy Evaluation with Python ImplementationsA comprehensive list of most used metrics to evaluate portfolios and strategies’ performance with implementations in Python.Oct 231Oct 231
Published inTowards Data ScienceAutomatic Differentiation (AutoDiff): A Brief Intro with ExamplesAn introduction to the mechanics of AutoDiff, exploring its mathematical principles, implementation strategies, and applicationsOct 11Oct 11
Solve Optimization Problems on Google Cloud Platform using Google’s OR API and OR-tools MathOptA quick guide to implementing and solving mathematical optimization models using Google Cloud Platform (GCP) with OR-tools MathOpt…Sep 29Sep 29
Published inTowards Data ScienceWhat are Query, Key, and Value in the Transformer Architecture and Why Are They Used?An analysis of the intuition behind the notion of Key, Query, and Value in Transformer architecture and why is it used.Oct 5, 20232Oct 5, 20232
Published inTowards AIGraph Attention Networks paper explained with illustration and PyTorch implementationA detailed and illustrated walkthrough of the “Graph Attention Networks” paper by Veličković et. al. with the PyTorch implementation of the…Jul 26, 2023Jul 26, 2023
Published inTowards AIPolicy Gradient Algorithm’s Mathematics Explained with PyTorch ImplementationA step-by-step explanation of the RL’s policy gradient algorithm and its implementation.May 23, 2023May 23, 2023
Published inDataDrivenInvestorPortfolio Optimization with Python: using SciPy Optimize & Monte Carlo MethodModern Portfolio TheoryJan 18, 20234Jan 18, 20234
Published inTowards Data ScienceBest Resources to Learn Reinforcement LearningExplore some of the best (mostly free) tutorials, courses, books, and more on this ever-evolving fieldJan 12, 20234Jan 12, 20234
