Books on Machine/Deep Learning

[James_S]

So Ive been taking a course on Machine/Deep Learning at a local university. Its in Python.
Since im learning Clojure as well I would like to combine both. Machine Learning is a topic that has continuous updates. I was wondering if anyone could point me out to recent books on the topic using Clojure.
Its my understanding that Cortex is the prefered library on the field, but I haven’t found any books on the topic.
The only book I found was Clojure for Machine Learning. https://books.google.com.ar/books/about/Clojure_for_Machine_Learning.html?id=w05sAwAAQBAJ&printsec=frontcover&source=kp_read_button&redir_esc=y#v=onepage&q&f=false
but it doesnt seem to cover cortex. So i believe it might be outdated.
Any suggestions?

[SyBorg]

"Clojure for Data Science", Henry Garner
Statistics, big data, and machine learning for Clojure programmers

Not about ML per se, but may be related -

"Clojure Data Analysis Cookbook, Second Edition", Eric Rochester
Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

I haven’t started it yet, though.

[alanmarazzi]

There is also:

Clojure for Machine Learning

But since it The book you mentioned uses clatrix as a backend to core.matrix which is pretty much abandoned you might want to reproduce examples either directly with neanderthal or you might switch the backend using denisovan.

Also recently I released clj-boost which is a Clojure wrapper for XGBoost

[SyBorg]

this is the same book James_S mentioned, actually.

[alanmarazzi]

You’re right, thanks! I didn’t notice, post edited

[gigasquid]

Please checkout the Clojure bindings for Apache MXNet http://mxnet.incubator.apache.org/api/clojure/index.html

If you have any troubles feel free to ping me here or on Clojarian #mxnet slack or create an Issue.

• Carin