written by Eric J. Ma on 2020-06-02 | tags: data science ebooks
There's a pile of free books released for everybody! One of them caught my eye: the Data Science Design Manual. Link in the full post!
During this extraordinary COVID-19 time, Springer did an extraordinary thing that I never expected: They released a whole bucketload of books for free online! One of them caught my eye: "The Data Science Design Manual". Having browsed through the book PDF, I'm impressed by its coverage of the foundational topics that I think every data scientist should be equipped with: statistical inference, data wrangling, linear algebra, and machine learning. The author, Steven Skiena, also covers more in there.
Go grab the PDF while it's still free!
@article{
ericmjl-2020-data-science-design-manual,
author = {Eric J. Ma},
title = {Data Science Design Manual},
year = {2020},
month = {06},
day = {02},
howpublished = {\url{https://ericmjl.github.io}},
journal = {Eric J. Ma's Blog},
url = {https://ericmjl.github.io/blog/2020/6/2/data-science-design-manual},
}
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