What I'm reading
Hands On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron — This book is probably the most aligned with the work I’ve been doing on the daily at Max Kelsen as a Machine Learning Engineer. It focuses on a ground up approach to machine learning, using the more traditional techniques rather than diving straight into the latest and greatest methods. But then the end of the book starts getting into more advanced approaches but I’m not up to that part yet. A great starting place for anyone with some Python experience to get into machine learning.
Digital Minimalism by Cal Newport — Technology should enable life, not control it. I’ve been trying to use my phone less and less and only spending time with technology which enhances the things I value (relationships, health, creation).
Deep Medicine by Eric Topol — In Healthcare, deep learning has been considered a solution without a problem. This book explores the application of deep learning in healthcare. Where can it be used? How can it be used? I want to learn more about these things and start putting them to work. Once I figure out more, I’ll be sure to share.