As we practice and teach Data Science, we continuously learn, unlearn and revise old and new concepts.
What are some freely available reading lists that give that help this or give a great intro to Data Science?
(1/n)
What are some freely available reading lists that give that help this or give a great intro to Data Science?
(1/n)
This one is from University of Washington and goes over some basic concepts: students.washington.edu/bxie/info370/
(2/n)
(2/n)
Another great one which details specific vital segments like clustering and dimensionality is this book/course from University of Utah: cs.utah.edu/~jeffp/teachin…
(3/n)
(3/n)
In addition to big data, this also goes into data visualization which is a big part of data understanding and communication: dan.bjorkegren.com/bigdata/
(4/n)
(4/n)
Data Science for language modeling!
Includes basics like intro to jupyter notebooks as well.
web.stanford.edu/class/cs124/
(6/n)
Includes basics like intro to jupyter notebooks as well.
web.stanford.edu/class/cs124/
(6/n)
And finally, the blog Towards Data Science on Medium is probably the best resource when in need of a brief recap on almost any topic!
(towardsdatascience.com)
Tell me what resources you find helpful! :)
(8/n=8)
(towardsdatascience.com)
Tell me what resources you find helpful! :)
(8/n=8)
• • •
Missing some Tweet in this thread? You can try to
force a refresh
