返回到 Project Planning and Machine Learning
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
17 個評分
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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1 - Project Planning and Machine Learning 的 2 個評論（共 2 個）
創建者 Anni B
•Apr 02, 2019
quizzes can be tougher.
great course!
100% history oriented.
創建者 Andreu C
•Feb 08, 2019
Más orientado a embedded systems
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