Here are some suggested reading materials.
Do you wish to add your tutorial to this list? Do you have any suggestions for this list? - Let us talk!
Squid’s Blogs by Carin Meier - deep learning, MXNet, Python interop and other technical topics
Arthur Caillau’s Blog - featuring the “MXNet made simple” series
Dragan Djuric - numerical computing, linear algebra, high performance computing and deep learning
Christopher Small - discussing the development of Oz, among other things
Clojure Goes Fast - overviews tools and practices for profiling and improving performance in Clojure
Applied Science blog by Dave Liepmann, Matt Huebert and Jack Rusher - Deep learning, data visualization, data processing
Tutorials play an important role on our journey to make Clojure an accessible, friendly platform for data science.
Of course, they allow us to share and learn existing methods and practices. No less importantly, working on tutorials helps us see the toolset meet its use cases, and thus realize what is still missing, and what could be improved.
General Nextjournal collections
Dieter Komentera - various topics
Tomasz Sulej - various topics
Alan Marazzi - various topics
Carin Meier - mainly Python interop
Chris Nuernberger - mainly Python interop
- Math for clojurists by Alan Marazzi
- techtest - comparing tech.ml.dataset with the analogous R packages - by Tomsaz Sulej
- A general introduction by Amit Ramon
- clj-boost - A tutorial by Alan Marazzi
- See mainly the growing list of tutorials at Squid’s Blogs mentioned above.
- Fun With Matplotlib by Chris Nuernberger.
- Panthera tutorials
- Clojisr tutorials
- Clojisr examples with lots of vizualiations, by Tomsaz Sulej and others
Books by Dragan Djuric about Deep Learning and about Linear Algebra in Clojure - books developed alongside Dragan’s work on libraries in this fields
Clojure for Data Science by Henry Garner - a bit dated in terms of the stack it presents, but stll relevant in terms of the principles presented
Other collections of resources
- Resources for Clojure beginners collected by Dmitri Sotnikov