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Avis et commentaires pour d'étudiants pour Project Planning and Machine Learning par Université du Colorado à Boulder

4.6
étoiles
59 évaluations
13 avis

À propos du cours

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...

Meilleurs avis

DB

Jul 07, 2020

Very well designed and delivered Course. Thank you for the opportunity. Special Thanks to Prof Dave Sluiter

AN

Jun 03, 2020

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

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1 - 12 sur 12 Avis pour Project Planning and Machine Learning

par Andreu C

Feb 08, 2019

Más orientado a embedded systems

par Dr R B

Jul 07, 2020

Very well designed and delivered Course. Thank you for the opportunity. Special Thanks to Prof Dave Sluiter

par Ankit N

Jun 03, 2020

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

par kuwar p s

Jul 01, 2020

nice course

par Iqbal U K

Sep 20, 2020

Good One!

par Vikram K V

Jul 24, 2020

Good

par Anni B

Apr 02, 2019

quizzes can be tougher.

great course!

100% history oriented.

par Roberto C

Sep 27, 2020

A good course by prof Dave Sluiter

par Ajaykanna k

Jun 13, 2020

Useful the course

par YAPARALA H V

Jul 11, 2020

Nice

par Mohanad K A

Sep 05, 2020

It,s general talk and not focused on the main topic industrial IOT

par UMAVATHI S

Jul 15, 2020

Thanks