Difference between revisions of "Udacity AWS Machine Learning Foundations"

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=== Prerequisites ===
 
=== Prerequisites ===
  
All learners are welcome to take the foundations course, but familiarity with basic mathematical concepts such as calculation, average, variance, and 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 [https://www.udacity.com/course/introduction-to-python--ud1110 Introduction to Python course].
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* 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 [https://www.udacity.com/course/introduction-to-python--ud1110 Introduction to Python course].
 +
* You may also find our [https://www.udacity.com/course/version-control-with-git--ud123 Version Control with Git] course helpful. It is also offered for FREE.
  
 
=== Learn More About Machine Learning ===
 
=== Learn More About Machine Learning ===
  
We encourage you to dive deeper in to machine learning with our [https://www.udacity.com/course/intro-to-machine-learning--ud120 Intro to Machine Learning] and [https://www.udacity.com/course/deep-learning-pytorch--ud188 Intro to Deep Learning with PyTorch] courses.
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* We encourage you to dive deeper in to machine learning with our [https://www.udacity.com/course/intro-to-machine-learning--ud120 Intro to Machine Learning] and [https://www.udacity.com/course/deep-learning-pytorch--ud188 Intro to Deep Learning with PyTorch] courses. Both courses are FREE and will help you be even better prepared to take the end-of-course assessment.
  
Both courses are FREE and will help you be even better prepared to take the end-of-course assessment.
 
  
You may also find our [https://www.udacity.com/course/version-control-with-git--ud123 Version Control with Git] course helpful. It is also offered for FREE.
 
  
 
=== AWS Free Tier account ===
 
=== AWS Free Tier account ===

Revision as of 12:30, 29 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)