How to Think About Machine Learning Algorithms
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Pluralsight online courses
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elite group of tech and creative professionals, innovators and leaders. As a
subscriber, you are ...
Pluralsight's mission is to publish high quality online training courses for
professional developers, IT admins and creative artists. Over 750,000
Learners have already made use of the 3,500+ Courses available in this
extensive library.
Pluralsight delivers world-class training that¹s easy to comprehend and quick
to learn. That¹s the beauty of being taught by experts. Course authors are an
elite group of tech and creative professionals, innovators and leaders. As a
subscriber, you are connected with authors through discussion boards for
ongoing, real-time learning.
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grow your career. With downloadable exercise files, you can follow along with
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Provider Subject Specialization
Sciences & Technology
Business & Management
Course Description
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.