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Project Planning and Machine Learning に戻る

コロラド大学ボルダー校(University of Colorado Boulder) による Project Planning and Machine Learning の受講者のレビューおよびフィードバック

4.6
30件の評価
4件のレビュー

コースについて

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...

人気のレビュー

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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Project Planning and Machine Learning: 1 - 3 / 3 レビュー

by Ankit N

Jun 03, 2020

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

by Anni B

Apr 02, 2019

quizzes can be tougher.

great course!

100% history oriented.

by Andreu C

Feb 08, 2019

Más orientado a embedded systems