A year’s worth of Epidemics, Networks, Artificial Intelligence, Machine Learning and Finance
2020 was a long and usual year, but we are finally done with it and ready for bigger and better things. One of advantages of the lockdowns and reduced travel was extra time to catch up on reading. Here are 10 of the books that kept us company throughout the year.
- “Apollo’s Arrow” — A sobering and extremely well written overview of the first wave of the CoVID pandemic by N. Christakis
2. “Charting the next pandemic” — An overview of state of the art approaches for Epidemic Modeling by A. Pastore y Piontti, N. Perra, L. Rossi, N. Smay and A. Vespignani
3. “The end of October” — A novel (published pre-CoVID) about a worst case Flu pandemic by L. Wright
4. “The Formula: The Universal Laws of #Success” — A look at recent results on the science of success and the simple rules you can follow to maximize yours by A.-L. Barabási
5. “Artificial Intelligence: A Guide for Thinking Humans” — A detailed look at the history and successes of AI and the lessons we may from them by M. Mitchell
6. “A First Course in Network #Science” — An introductory textbook on Networks and Graphs with an emphasis on conceptual understanding and practical applications by F. Menczer, S. Fortunato, and C. Davis
7. “Machine Learning for Asset Managers” — An introduction to state of the art ML techniques for Asset Management using Python by M. M. Lopez de Prado
8. “The Book of Why: The New Science of Cause and Effect” — A popular overview of Causality by one of the founding fathers of the field, J. Pearl
9. “Artificial Intelligence in Finance: A Python-Based Guide” — A Python introduction to applications of AI in the field of Finance by Y. Hilpisch
10. “Machine Learning in Finance: From Theory to Practice” — A deep dive into the mathematical fundamentals of ML applied to Finance by M. F. Dixon, I. Halperin, and P. Bilokon.
What books kept you company throughout the year? And which ones are you looking forward to in #2021?