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Learner Reviews & Feedback for Project Planning and Machine Learning by University of Colorado Boulder
129 ratings
About the Course
Products don't design and build themselves. In this course, students learn how to staff, plan and execute a project to build a product. We explore sensors, which produce tremendous volumes of data, and then storage devices and file systems for storing big data. Finally, we study machine learning and big data analytics.
This course can be taken for academic credit as part of CU Boulder鈥檚 Master of Science in Electrical Engineering (MS-EE) degree offered on the 糖心vlog官网观看 platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on 糖心vlog官网观看 are ideal for recent graduates or working professionals. Learn more:
MS in Electrical Engineering: /degrees/msee-boulder
Top reviews
M
Feb 27, 2022
Brilliant course! A must for all the budding IoT professionals. Thanks Prof David, The University of Colorado and 糖心vlog官网观看.
SS
May 29, 2022
Awsomw Materials and Explanations. Dedicatedly you ve to preparare if you wants to improvizing yourself. Thanks by Sam.
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26 - 29 of 29 Reviews for Project Planning and Machine Learning
By Akella K M
鈥�Jul 6, 2021
Great course content!
By Sofien A
鈥�Jul 23, 2021
As IoT includes a lot of pratical challenge. i prefer that the session became a case studies other than lectures
By Bilato a
鈥�Nov 17, 2022
YES
By Reetik K
鈥�Apr 19, 2025
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