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Learner Reviews & Feedback for Project Planning and Machine Learning by University of Colorado Boulder

4.6
stars
38 ratings
5 reviews

About the Course

This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. In this course students will learn : * How to staff, plan and execute a project * How to build a bill of materials for a product * How to calibrate sensors and validate sensor measurements * How hard drives and solid state drives operate * How basic file systems operate, and types of file systems used to store big data * How machine learning algorithms work - a basic introduction * Why we want to study big data and how to prepare data for machine learning algorithms...

Top reviews

AN

Jun 03, 2020

It was a good course to get a background and basic clearing while developing IIoT projects...

RK

May 16, 2020

Got good idea about predictive analysis and ML concepts used in IoT design

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1 - 5 of 5 Reviews for Project Planning and Machine Learning

By Andreu C

Feb 08, 2019

Más orientado a embedded systems

By Ankit N

Jun 03, 2020

It was a good course to get a background and basic clearing while developing IIoT projects...

By kuwar p s

Jul 01, 2020

nice course

By Anni B

Apr 02, 2019

quizzes can be tougher.

great course!

100% history oriented.

By Ajaykanna k

Jun 13, 2020

Useful the course