Getting Started with AWS Machine Learning by AWS team and Mathematics for Machine Learning by Imperial College London while crowdsourcing with Amazon Mechanical Turk

After hosting WordPress sites on AWS using Lightsail and EC2, I wanted to see how so-called AI (Artificial Intelligence) and machine learning can be applied for our startup through our AWS account credit availed through Startup India program. To meet this objective from Coursera, I find the course Getting Started with AWS Machine Learning relevant. It appears that the course can be pursued free with a certificate. Otherwise, one can audit and pursue free (without a certificate), which too should be great for learning per se.

*AWS services console has a Machine Learning section.*

Mathematics for Machine Learning is an online course by Imperial College London hosted too on Coursera divided into three parts: Linear Algebra, Multivariate Calculus, and Principal Component Analysis (PCA).

Starting from scratch (secondary mathematics as base), this course covers topics in a succinct manner. It helps to have an understanding of what is happening under the hood as you launch a machine learning application that on the front end might not need a single line of coding or performing mathematical operations. Like so many other courses on Coursera, until recently this too could be audited and pursued free. As of now, this is available only under paid plan.

365 Data Science (not an Amazon brand) is a promising course that teaches computer programming, mathematics, and statistics (data science) from scratch. This course can save time and help accomplish learning under one platform while being guided by the experts. New tutorials are added frequently.

While implementing your machine learning project, you might need the help of actual humans to train machine learning models. Consider Amazon Mechanical Turk to crowdsource such jobs.

Last Updated on July 12, 2022 by Rajeev Bagra