Books I am Currently Reading

  • The Phoenix Project - Gene Kim, Kevin Behr, George Spafford (*)

The Phoenix Project

  • AI Engineering - Chip Huyen (*)

AI Engineering

Books I’ve Read and Recommend

  • How to Lie with Statistics - Darrell Huff

How to Lie with Statistics

  • The Art of Statistics: Learning from Data - David Spiegelhalter (*)

The Art of Statistics: Learning from Data

  • Practical Statistics for Data Scientists - Peter Bruce, Andrew Bruce & Peter Gedeck (*)

Practical Statistics for Data Scientists

  • Designing Machine Learning Systems - Chip Huyen (*)

Designing Machine Learning Systems

  • Clean Code - Robert C. Martin (*)

Clean Code

  • The Hundred-Page Machine Learning Book - Andriy Burkov (*)

The Hundred-Page Machine Learning Book

  • Machine Learning with R - Brett Lantz (*)

Machine Learning with R

  • Dive Into Design Patterns - Alexander Shvets (*)

Dive Into Design Patterns

  • The Pragmatic Programmer - David Thomas & Andrew Hunt (*)

The Pragmatic Programmer

  • Distributed Systems - Maarten Van Steen & Andrew S Tanenbaum (*)

Distributed Systems

  • Introduction to Algorithms - Thomas H. Cormen (*)

Introduction to Algorithms

Reading Queue

  • Generative AI on AWS - Chris Fregly (*)

Generative AI on AWS

  • Practical Recommender Systems - Kim Falk (*)

Practical Recommender Systems

  • Practical Time Series Analysis - Aileen Nielsen (*)

Practical Time Series Analysis

  • Data Science on AWS - Chris Fregly & Antje Barth (*)

Data Science on AWS

  • Fundamentals of Probability and Statistics (from Portuguese, Noções de Probabilidade e Estatística) - Marcos Nascimento Magalhães (*)

Fundamentals of Probability and Statistics

  • Machine Learning Pocket Reference: Working with Structured Data in Python - Matt Harrison (*)

Machine Learning Pocket Reference

  • Designing Data-Intensive Applications - Martin Kleppmann (*)

Designing Data-Intensive Applications

  • Machine Learning Engineering - Andriy Burkov (*)

Machine Learning Engineering

  • The Hundred-Page Language Models Book - Andriy Burkov (*)

The Hundred-Page Language Models Book

  • Clean Architecture - Robert C. Martin (*)

Clean Architecture

  • Artificial Intelligence: A Modern Approach - Stuart Russel & Peter Norvig (*)

Artificial Intelligence

  • Fundamentals of Natural Computing - Leandro Nunes de Castro (*)

Fundamentals of Natural Computing

  • The Art of Computer Programming - Donald E. Knuth (*)

The Art of Computer Programming

  • Inspired: How to Create Tech Products Customers Love - Marty Cagan (*)

Inspired

  • How to Win Friends and Influentiate People - Dale Carnegie (*)

How to Win Friends and Influentiate People

  • Experimentation Works: The Surprising Power of Business Experiments - Stefan H. Thomke (*)

Experimentation Works

  • Storytelling with Data - Cole Nussbaumer Knaflic (*)

Storytelling with Data

  • Range: Why Generalists Triumph in a Specialized World - David J. Epstein

Range

Wish List

  • 99 Bottles of OOP - Sandi Metz

99 Bottles of OOP

  • Essential Math for Data Science - Thomas Nield

Essential Math for Data Science

  • Essential Math for AI - Hala Nelson

Essential Math for AI

  • Machine Learning Design Patterns - Valliappa Lakshmanan

Machine Learning Design Patterns

  • Crucial Conversations - Joseph Grenny

Crucial Conversations

  • Algorithms of Oppression - Safiya Umoja Noble

Algorithms of Oppression

  • Weapons of Math Destruction - Cathy O’Neil

Weapons of Math Destruction

  • It’s Okay to Be the Boss - Bruce Tulgan

Its Okay to Be the Boss

  • The Leadership Pipeline - Ram Charan

The Leadership Pipeline

(*) Books that I own