As the year draws to a close, I'd like to continue with the annual tradition of compiling all the books I managed to read this year.

I spent most of 2018 reading about healthy relationships, machine learning, and computer theory.

• Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction by Arvind Narayanan et al
• Grokking Algorithms: An illustrated guide for programmers and other curious people by Aditya Bhargava
• A Concise Introduction To Bayes' Theorem by Kelly J Kirkland
• Beautiful JavaScript: Leading Programmers Explain How They Think by Anton Kovalyov et al
• Inadequate Equilibria: Where and How Civilizations Get Stuck by Elizer Yudkowsky
• Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
• The Industries of the Future by Alec Ross
• When the Past Is Present: Healing the Emotional Wounds that Sabotage our Relationships by David Richo
• Pattern Recognition and Machine Learning by Christopher Bishop
• Algorithm Design by Jon Kleinenberg et al
• Owning Your Own Shadow: Understanding the Dark Side of the Psyche by Robert Johnson
• Introduction to High Performance Computing for Scientists and Engineers by Georg Hager