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 CU–Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Instructor Details
Courses : 3
Specification: Project Planning and Machine Learning
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2 reviews for Project Planning and Machine Learning
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Price | Free |
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Provider | |
Duration | 16 hours |
Year | 2019 |
Level | Intermediate |
Language | English |
Certificate | Yes |
Quizzes | Yes |
FREE
Andreu C –
Mas orientado a embedded systems
Anni B –
quizzes can be tougher. great course! 100% history oriented.