Resources

These resources have enriched my studies and I highly recommend them for anyone interested in the respective topics. Click to view.

Statistics and ML

Machine Learning and Pattern Recognition by CM Bishop

Introduction to Statistical Learning

Deep Learning Book by Goodfellow, Bengio, and Courville

Quant Finance

Options, Futures, and Other Derivatives by John C. Hull

The Concepts and Practice of Mathematical Finance by Mark S. Joshi

Introduction to Stochastic Calculus by Rajeeva L. Karandikar & B. V. Rao

Handbook of Financial Time Series

Basic Black-Scholes: Option Pricing and Trading by Timothy Falcon Crack

Inside the Black Box: A Simple Guide to Quantitative and High-Frequency Trading by Rishi K. Narang

Quantitative Primer

C++

The Cherno's C++ Playlist

Effective Modern C++ by Scott Meyers

CppNuts

Puzzles and Math

Engel Problems

Mathematical Puzzles by Martin Gardner

50 Challenging Problems in Probability

Mathematical Puzzles by Peter Winkler

Heard on the Street by Timothy Crack

Practical Guide to Quantitative Finance Guide by Xinfeng Zhou

Websites

Operating Systems

Modern Operating Systems by Mythili Vutukuru

The Linux Programming Interface

Data Structures and Algorithms

Dynamic Programming Bootcamp IIT-GN

DSA One Course

Course on Competitive Programming

CSES Problem Set