github
/
free-programming-books
mirror of https://github.com/EbookFoundation/free-programming-books.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Normalize udacity listings (#3409)

Browse Source 
Some of our Udacity listings added '(Udacity)' as and access note. This PR makes the practice uniform. We can consider other platforms case by case. In general, I feel that when the platform offers additional services that make it matter what platform a course is on, the addition of an access note is useful.

Comments welcome on appropriateness of  the access notes.
pull/3512/head
Eric Hellman 5 years ago committed by GitHub
parent f2adea5716
commit 112d43e056
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 4 additions and 4 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 8
      free-courses-en.md

8
free-courses-en.md
Unescape View File

@ -135,7 +135,7 @@
### Cuda ### Cuda
* [Intro to Parallel Programming Using CUDA to Harness the Power of GPUs](https://www.udacity.com/course/intro-to-parallel-programming--cs344) * [Intro to Parallel Programming Using CUDA to Harness the Power of GPUs](https://www.udacity.com/course/intro-to-parallel-programming--cs344) (Udacity)
### Data Science ### Data Science
@ -161,7 +161,7 @@
* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard * [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
* [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses) * [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses)
* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial) * [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
* [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730) * [What is Deep Learning](https://www.udacity.com/course/deep-learning--ud730) (Udacity)
### Git ### Git
@ -223,7 +223,7 @@
* [Object-Oriented programming with Java, part II](https://moocfi.github.io/courses/2013/programming-part-2/) * [Object-Oriented programming with Java, part II](https://moocfi.github.io/courses/2013/programming-part-2/)
* [Princeton Algorithms, Part 1](https://www.coursera.org/course/algs4partI) * [Princeton Algorithms, Part 1](https://www.coursera.org/course/algs4partI)
* [Princeton Algorithms, Part 2](https://www.coursera.org/course/algs4partII) * [Princeton Algorithms, Part 2](https://www.coursera.org/course/algs4partII)
* [Problem Solving With Java](https://www.udacity.com/course/intro-to-java-programming--cs046) * [Problem Solving With Java](https://www.udacity.com/course/intro-to-java-programming--cs046) (Udacity)
* [Spring 5 Core - An Ultimate Guide](https://www.udemy.com/learn-spring-5-core-from-scratch/) - Somnath Musib (Udemy) * [Spring 5 Core - An Ultimate Guide](https://www.udemy.com/learn-spring-5-core-from-scratch/) - Somnath Musib (Udemy)
@ -433,7 +433,7 @@
### Theory ### Theory
* [Automata Theory](https://lagunita.stanford.edu/courses/course-v1:ComputerScience+Automata+Fall2016/about) * [Automata Theory](https://lagunita.stanford.edu/courses/course-v1:ComputerScience+Automata+Fall2016/about)
* [Udacity: Intro to Theoretical Computer Science](https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313) * [Intro to Theoretical Computer Science](https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313) (Udacity)
### TypeScript ### TypeScript

Write Preview
Loading…
Cancel
Save