[Suggestion request] An advance book for data science with Julia?

[rajnrao]

Were you able to find what you needed?

We’ve taught a large class on data science and ML in Julia at the University of Michigan. See mynerva.io/compml for some of the ‘codices’. If you’d like to try the self-study version check out mynerva.io/compla

It is a computational textbook in the sense described in this Juliacon talk

So it’s very hands-on and experiential. If you want to get a flavor for it go to Pathbird and after registering try it with the code “JULIACON2020” (no quotes). Try the neural nets one and you’ll get a sense of what to expect.

There is an online version of the course we are doing for folks – see

U. Michigan Online Course Computational ML for Scientists and Engineers

The University of Michigan’s Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, design and machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud. You’ll learn by programming machine learning algorithms from scratch in a hands-on manner using a one-of-a-kind cloud-based interactive computational textbook that will guide you, and check you…

It’s a great time to be learning ML, particularly in Julia : )