Difference between revisions of "Udacity AWS Machine Learning Foundations"

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* Soslan Tabuev has shared [https://developers.google.com/machine-learning/glossary A Machine Learning Glossary]
 
* Soslan Tabuev has shared [https://developers.google.com/machine-learning/glossary A Machine Learning Glossary]
 
* Soslan Tabuev has shared [https://vas3k.com/blog/machine_learning/ Machine Learning for Everyone] - a simple words explanation to what ML is
 
* Soslan Tabuev has shared [https://vas3k.com/blog/machine_learning/ Machine Learning for Everyone] - a simple words explanation to what ML is
 +
* [https://paperswithcode.com/methods some example visualisations for code in machine learning]
  
 
=== AWS Free Tier account ===
 
=== AWS Free Tier account ===

Revision as of 10:52, 30 June 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)