Recommended Readings

A curated collection of books, papers, and resources that have influenced my thinking and work.

Book2019

The Hundred-Page Machine Learning Book

by Andriy Burkov

A concise overview of machine learning fundamentals that provides a solid foundation for beginners and practitioners alike.

Machine LearningAIFundamentalsData Science
Research Paper2023

AI Ethics: A New Frontier

by Various

An exploration of the ethical considerations surrounding artificial intelligence development and deployment.

AIEthicsResearchTechnology Policy
Textbook2016

Deep Learning

by Ian Goodfellow, Yoshua Bengio, Aaron Courville

The definitive textbook on deep learning, covering mathematical foundations, algorithms, and applications.

Deep LearningAINeural NetworksTextbook
Book2022

Designing Machine Learning Systems

by Chip Huyen

Practical guide to building ML systems that are reliable, scalable, and maintainable in production environments.

MLOpsSystem DesignProduction MLSoftware Engineering
Book2008

Clean Code: A Handbook of Agile Software Craftsmanship

by Robert C. Martin

A classic text on writing clean, maintainable code and the principles of software craftsmanship.

ProgrammingSoftware EngineeringBest PracticesCode Quality