My Reading Journey
Exploring the world through books, articles, and research papers.
Books I've Enjoyed
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition)
Aurélien Géron
A practical guide to machine learning, covering Scikit-Learn, Keras, and TensorFlow with real-world examples.
Machine Learning for Algorithmic Trading
Stefan Jansen
Predictive analytics techniques for trading strategies using machine learning.
Paul Wilmott on Quantitative Finance
Paul Wilmott
An in-depth introduction to quantitative finance with real-world examples and methodologies.
Option Volatility and Pricing
Sheldon Natenberg
A comprehensive guide to understanding option trading and the complexities of volatility.
Zero to One: Notes on Startups, or How to Build the Future
Peter Thiel
A guide for startup founders on creating innovative and successful businesses.
The Lean Startup
Eric Ries
A methodology for building startups and products that encourages quick iteration and continuous innovation.
Traction
Gino Wickman
A guide to implementing the Entrepreneurial Operating System (EOS) to grow businesses.
The Hard Thing About Hard Things
Ben Horowitz
A business book for entrepreneurs and leaders about navigating tough decisions and challenges.
Pitch Anything
Oren Klaff
A groundbreaking method for presenting, persuading, and winning the deal.
Thought-Provoking Articles
The Future of Artificial Intelligence
MIT Technology Review
An in-depth look at the current state and future prospects of AI technology.
Quantitative Finance: A New Era of Data-Driven Trading
Harvard Business Review
An exploration of how quantitative methods are transforming the finance industry.
AI's Role in Health Care: Opportunities and Challenges
Medium
Examining how artificial intelligence is revolutionizing the healthcare industry.
The Economics of Artificial Intelligence in Medicine
MIT Sloan School of Management
Analyzing the economic impact of AI-driven innovations in the healthcare sector.
Machine Learning in Quantitative Finance: Risk and Opportunities
Harvard Business Review
An overview of how machine learning is reshaping the finance industry, with a focus on risk management.
Research Papers of Interest
High-Frequency Trading: An Overview of Challenges and Opportunities
John Doe, Jane Smith
A comprehensive paper discussing the advancements, risks, and benefits of high-frequency trading.
C++ for High-Frequency Trading Systems
Alice Johnson, Bob Brown
A technical paper on using C++ to build highly efficient and low-latency trading systems.
Machine Learning Applications in High-Frequency Trading
Michael Lee, Sarah Wong
An exploration of how machine learning models are being applied to predict and execute high-frequency trades.
Reading Recommendations
- Paul Wilmott on Quantitative Finance by Paul Wilmott
- Traction by Gino Wickman
- The Lean Startup by Eric Ries
- Pitch Anything by Oren Klaff
- Zero to One by Peter Thiel