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学生对 科罗拉多大学波德分校 提供的 Project Planning and Machine Learning 的评价和反馈
40 个评分
课程概述
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
热门审阅
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 6 个评论（共 6 个）
创建者 Andreu C
•Feb 08, 2019
Más orientado a embedded systems
创建者 Dr R B
•Jul 07, 2020
Very well designed and delivered Course. Thank you for the opportunity. Special Thanks to Prof Dave Sluiter
创建者 Ankit N
•Jun 03, 2020
It was a good course to get a background and basic clearing while developing IIoT projects...
创建者 kuwar p s
•Jul 01, 2020
nice course
创建者 Anni B
•Apr 02, 2019
quizzes can be tougher.
great course!
100% history oriented.
创建者 Ajaykanna k
•Jun 13, 2020
Useful the course
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