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Machine learning (support vector machine)

Support vector machine • Overview (What is a SVMs? Structure of a SVMs) • How to build the model  Key concept of SVMs  Mathematical formula • How to test the model • Strengths and weakness  Strengths: Able to handle large feature space; be able to deal with the interaction between nonlinear features; no need to rely on the entire data  Weaknesses: The efficiency is not very high when the observation samples are many; sometimes it’s hard to find a proper kernel function. • Summarize the research conducted using SVMs to predict hospital-associated infection (at least 6 examples)
Support vector machine • Overview (What is a SVMs? Structure of a SVMs) • How to build the model  Key concept of SVMs  Mathematical formula • How to test the model • Strengths and weakness  Strengths: Able to handle large feature space; be able to deal with the interaction between nonlinear features; no need to rely on the entire data  Weaknesses: The efficiency is not very high when the
Assignment ID
790633
CREATED ON
3 December 2018
COMPLETED ON
4 December 2018
Price
$40
This order has already been completed on Studybay
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3 December 2018
User posted an order for Computer Science
3 December 2018
18 writers responded and offered to do the job for a price between $20 and $30
3 December 2018
User contacted writer ReubenKevin
3 December 2018
User hired writer ReubenKevin
4 December 2018
Writer completed order Machine learning (support vector machine) for 1 day, meeting the deadline
4 December 2018
User accepted the job right away and completed the payment
4 December 2018
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