Pluralsight.com.How.to.Think.About.Machine.Learning.Algorithms-ELOHiM

Section
Appz
Group
ELOHiM
Size
290,82 MB
Files
23
Date
2016-10-01

NFO


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     RELEASE NAME....: Pluralsight.com.How.to.Think.About.Machine.Learning.Algorithms-ELOHiM
     RELEASE DATE....: 2016-10-01
     RELEASE SIZE....: 21x15Mb
     FORMAT..........: Bookware
     LANGUAGE........: English
     URL.............: https://www.pluralsight.com

     Machine learning is behind some of the coolest technological innovations
     today, Contrary to popular perception, however, you don't need to be a
     math genius to successfully apply machine learning. As a data scientist
     facing any real-world problem, you first need to identify whether machine
     learning can provide an appropriate solution. In this course, How to Think
     About Machine Learning Algorithms, you'll learn how to identify those
     situations. First, you will learn how to determine which of the four basic
     approaches you'll take to solve the problem: classification, regression,
     clustering or recommendation. Next, you'll learn how to set up the problem
     statement, features, and labels. Finally you'll plug in a standard
     algorithm to solve the problem. At the end of this course, you'll have the
     skills and knowledge required to recognize an opportunity for a machine
     learning application and seize it.
     
     Author: Swetha Kolalapudi
     Level: Beginner
     Duration: 3h 8m

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