Library

Library

Technical

• The Hundred-Page Machine Learning Book, by Andriy Burkov
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, by Aurélien Géron
• Natural Language Processing with Transformers, by Lewis Tunstall, Leandro von Werra, Thomas Wolf
• High Performance Python, by Micha Gorelick, Ian Ozsvald
• Advances in Financial Machine Learning, by Marcos Lopez de Prado

Non-Technical

• O Grande Inquisidor – A vida extraordinária e o desaparecimento misterioso de Ettore Majorana, génio atormentado da era nuclear, de João Magueijo
• The 48 Laws of Power, by Robert Greene
• The Meditations, by Marcus Aurelius
• Homo Deus – A Brief History of Tomorrow, by Yuval Noah Harari
• Stuff Matters – The Strange Stories of the Marvellous Materials that Shape Our Man-made World, by Mark Miodownik
• What We Owe The Future, by William MacAskill
• Who Moved My Cheese?, by Spencer Johnson
• Late Bloomers, by Rich Karlgaard
• The Subtle Art of Not Giving a Fuck, by Mark Manson
• Darwin Among the Machines, by George Dyson

On my List to Read:

• Presence, by Amy Cuddy
• Programming Massively Parallel Processors
• Designing Data-Intensive Aplications, by Martin Kleppmann
• Data Science on AWS
• Good Arguments, Bo Seo
• Quantum Field Theory for the Gifted Amateur
• High Performance Python
• Deep Learning for Coders with fastai & PyTorch
• Numbers Don’t Lie, Vaclav Smil
• Only the Paranoid Survive, Andrew S. Grove
• Moonwalking with Einstein, by Joshua Foer
• A Brief History of Intelligence, by Max Bennett
• The Art of Doing Science and Engineering, by Richard Hamming
• Empires of Light, by Jill Jonnes
• How the World Really Works: A Scientist’s Guide to Our Past, Present and Future, by Vaclav Smil
• The Rational Optimist: How Prosperity Evolves
• A History of the World in 6 Glasses