Difference between revisions of "Udacity AWS Machine Learning Foundations"

From AWS DeepRacer Community Wiki
Jump to navigation Jump to search
Line 1: Line 1:
 
== Helpful resources for the course ==
 
== Helpful resources for the course ==
 
'''Everyone is welcome!'''
 
'''Everyone is welcome!'''
 +
 +
=== Course resources ===
 +
* Shivansh Srivastava is sharing his notes and code for the course [https://github.com/Shivansh2407/AWS-Machine-Learning-Foundations-Scholarship in his GitHub repository]
 +
 +
=== 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].
 
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].

Revision as of 12:29, 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, 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 Introduction to Python course.

Learn More About Machine Learning

We encourage you to dive deeper in to machine learning with our Intro to Machine Learning and 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.

You may also find our Version Control with Git course helpful. It is also offered for FREE.

AWS Free Tier account

Free Tier is NOT same as free

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