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An organized compilation of my daily explorations, insights, and advancements in quantitative research. This repository provides a comprehensive overview of my journey through Mathematics, Statistics, Machine Learning, and related disciplines. It stands as a testament to my dedication to continuous learning and mastery in the quantitative domain.

License: MIT License

C++ 100.00%

quantitativeresearchrepository's Introduction

Quantitative Research Repository

Introduction:

Hey! I'm Ananyapam, a passionate researcher based at IIT Bombay. I completed my master's degree in Mathematics and Statistics from IISER-Kolkata and I've been venturing into the vast realms of Statistics, Machine Learning, Deep Learning along with a sprinkle of other intriguing domains. Connect with me on LinkedIn!

This is a curated archive documenting my rigorous explorations within quantitative research. Spanning Mathematics, Statistics, Machine Learning, and interconnected fields, this repository encapsulates my commitment to depth, innovation, and the ongoing pursuit of excellence in the quantitative sciences.

Table of Contents:


Mathematics:


Statistics:


Machine Learning (ML):


Computer Science:


C++ and Linux:

  • Basics
  • OOPS
  • Move Semantics
  • boost
  • Concurrency: async and threading, promise, future
  • Smart pointers
  • rvalue, lvalue
  • lambda expressions
  • std::variant
  • template metaprogramming

Programming Languages:

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