Difference between revisions of "Udacity AWS Machine Learning Foundations"

From AWS DeepRacer Community Wiki
Jump to navigation Jump to search
Line 3: Line 3:
  
 
=== Course resources ===
 
=== Course resources ===
 +
* Orientation video and other details are available here: https://sites.google.com/udacity.com/awsmachinelearningchallenge
 
* Shivansh Srivastava is sharing his notes and code for the course [https://github.com/Shivansh2407/AWS-Machine-Learning-Foundations-Scholarship in his GitHub repository]
 
* Shivansh Srivastava is sharing his notes and code for the course [https://github.com/Shivansh2407/AWS-Machine-Learning-Foundations-Scholarship in his GitHub repository]
  

Revision as of 12:47, 1 July 2021

Helpful resources for the course

Everyone is welcome!

Course resources

Prerequisites

  • All learners are welcome to take the foundations course, but familiarity with basic mathematical concepts such as calculation, average, variance
  • Beginning level programming (preferably Python) is recommended to fully engage in all of the coursework. If you want to brush up on your Python skills, we encourage you to review our free Introduction to Python course.
  • You may also find our Version Control with Git course helpful. It is also offered for FREE.

Learn More About Machine Learning

AWS Free Tier account

Free Tier is NOT same as free

Deal with your billing before your billing deals with you (REALLY)