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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