Seeking 2 Essential References for Learning Machine Learning (Intro & Deep Dive)

Hello everyone,

I’m on a journey to learn ML thoroughly and I’m seeking the community’s wisdom on essential reading.

I’d love recommendations for two specific types of references:

Reference 1: A great, accessible introduction. Something that provides an intuitive overview of the main concepts and algorithms, suitable for someone starting out or looking for clear explanations without excessive jargon right away. Reference 2: A foundational, indispensable textbook. A comprehensive, in-depth reference written by a leading figure in the ML field, considered a standard or classic for truly understanding the subject in detail.

What books or resources would you recommend?

Looking forward to your valuable suggestions