ch0ic3/free-programming-books
1
0
Fork 0
mirror of https://github.com/EbookFoundation/free-programming-books.git synced 2025-01-18 00:25:27 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

added book Fundamentals of Data Visualization (#8547)

Browse Source 
* added book Fundamentals of Data Visualization book
under new Subject Data Visualization

* fixed alphabetical ordering

* changed datamining category to data science
This commit is contained in:
Melanga Dissanayake 2022-10-18 07:58:48 +05:30 committed by GitHub
parent 765cc95bc4
commit f1a4e2d335
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 17 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
books/free-programming-books-subjects.md
View File

@ -18,8 +18,8 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [Computer Science](#computer-science)
* [Computer Vision](#computer-vision)
* [Containers](#containers)
* [Data Science](#data-science)
* [Database](#database)
* [Datamining](#datamining)
* [Game Development](#game-development)
* [Graphical user interfaces](#graphical-user-interfaces)
* [Graphics Programming](#graphics-programming)
@ -245,6 +245,22 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [Uncomplicating Kubernetes](https://livro.descomplicandokubernetes.com.br/en/) - Jeferson Fernando
### Data Science
* [A Programmer's Guide to Data Mining](http://guidetodatamining.com) - Ron Zacharski (Draft)
* [Data Jujitsu: The Art of Turning Data into Product](http://www.oreilly.com/data/free/data-jujitsu.csp) (email address *requested*, not required)
* [Data Mining Algorithms In R](https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R) - Wikibooks
* [Elements of Data Science](https://allendowney.github.io/ElementsOfDataScience/README.html) - Allen B. Downey
* [Fundamentals of Data Visualization](https://clauswilke.com/dataviz/) - Claus O. Wilke (HTML)
* [Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf) (PDF)
* [Introduction to Data Science](https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?pli=1) - Jeffrey Stanton
* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds/book.pdf) - Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman (PDF)
* [School of Data Handbook](http://schoolofdata.org/handbook/)
* [Statistical inference for data science](https://leanpub.com/LittleInferenceBook/read) - Brian Caffo
* [The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)](https://www.analyticsvidhya.com/blog/2018/08/dimensionality-reduction-techniques-python/) - Pulkit Sharma
* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
### Database
* [Database Design – 2nd Edition](https://opentextbc.ca/dbdesign01/) - Adrienne Watt, Nelson Eng @ BCcampus Open Pressbooks (HTML, PDF, EPUB, Kindle)
@ -258,21 +274,6 @@ Books that cover a specific programming language can be found in the [BY PROGRA
* [The Theory of Relational Databases](http://web.cecs.pdx.edu/~maier/TheoryBook/TRD.html)
### Datamining
* [A Programmer's Guide to Data Mining](http://guidetodatamining.com) - Ron Zacharski (Draft)
* [Data Jujitsu: The Art of Turning Data into Product](http://www.oreilly.com/data/free/data-jujitsu.csp) (email address *requested*, not required)
* [Data Mining Algorithms In R](https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R) - Wikibooks
* [Elements of Data Science](https://allendowney.github.io/ElementsOfDataScience/README.html) - Allen B. Downey
* [Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf) (PDF)
* [Introduction to Data Science](https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?pli=1) - Jeffrey Stanton
* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds/book.pdf) - Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman (PDF)
* [School of Data Handbook](http://schoolofdata.org/handbook/)
* [Statistical inference for data science](https://leanpub.com/LittleInferenceBook/read) - Brian Caffo
* [The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)](https://www.analyticsvidhya.com/blog/2018/08/dimensionality-reduction-techniques-python/) - Pulkit Sharma
* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
### Game Development
* [2D Game Development: From Zero To Hero](https://github.com/Penaz91/2DGD_F0TH) - Daniele Penazzo (HTML, [PDF, EBPUB, Kindle...](https://therealpenaz91.itch.io/2dgd-f0th#download)) (:construction: *in process*)