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學生對 科罗拉多大学波德分校 提供的 Project Planning and Machine Learning 的評價和反饋

4.7
54 個評分
10 條評論

課程概述

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...

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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 - Project Planning and Machine Learning 的 9 個評論(共 9 個)

創建者 Andreu C

Feb 08, 2019

Más orientado a embedded systems

創建者 Dr R B

Jul 07, 2020

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

創建者 Ankit N

Jun 03, 2020

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

創建者 kuwar p s

Jul 01, 2020

nice course

創建者 Vikram K V

Jul 24, 2020

Good

創建者 Anni B

Apr 02, 2019

quizzes can be tougher.

great course!

100% history oriented.

創建者 Ajaykanna k

Jun 13, 2020

Useful the course

創建者 YAPARALA H V

Jul 11, 2020

Nice

創建者 UMAVATHI S

Jul 15, 2020

Thanks