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
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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
