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Opiniones y comentarios de aprendices correspondientes a Project Planning and Machine Learning por parte de Universidad de Colorado en Boulder

4.6
estrellas
57 calificaciones
11 revisiones

Acerca del Curso

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...

Principales revisiones

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 - 11 de 11 revisiones para Project Planning and Machine Learning

por Andreu C

Feb 08, 2019

Más orientado a embedded systems

por Dr R B

Jul 07, 2020

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

por Ankit N

Jun 03, 2020

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

por kuwar p s

Jul 01, 2020

nice course

por Iqbal U K

Sep 20, 2020

Good One!

por Vikram K V

Jul 24, 2020

Good

por Anni B

Apr 02, 2019

quizzes can be tougher.

great course!

100% history oriented.

por Ajaykanna k

Jun 13, 2020

Useful the course

por YAPARALA H V

Jul 11, 2020

Nice

por Mohanad K A

Sep 05, 2020

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

por UMAVATHI S

Jul 15, 2020

Thanks