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