Understanding Deep Learning

„Understanding Deep Learning” by Simon Prince Among all ML books, it’s a really good overview of many concepts connected one to another and spelled out in easy to grasp way Also „Designing Machine Learning Systems” by Chip Huyen looks really promising and very hands-on (lessons learned by very committed practitioner). It gives actionable tips and provides real life insights. I haven’t finished reading it yet though