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Learn machine learning in 3 hours

Author: Thomas Snell
Publisher: [Place of publication not identified] : Packt, [2018]
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"Given the constantly increasing amounts of data they're faced with, programmers have to come up with better solutions to make machines smarter and reduce manual work. In this Machine Learning course, you'll use Python to craft better solutions and process them effectively. We start by focusing on key ML algorithms and how they can be trained for classification and regression. We will also work with Supervised and  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Thomas Snell
OCLC Number: 1031706559
Notes: Title from title screen (viewed April 17, 2018).
Release date from resource description page (Safari, viewed April 17, 2018).
Performer(s): Presenter, Thomas Snell.
Description: 1 online resource (1 streaming video file (2 hr., 14 min., 3 sec.)) : digital, sound, color
Responsibility: Thomas Snell.

Abstract:

"Given the constantly increasing amounts of data they're faced with, programmers have to come up with better solutions to make machines smarter and reduce manual work. In this Machine Learning course, you'll use Python to craft better solutions and process them effectively. We start by focusing on key ML algorithms and how they can be trained for classification and regression. We will also work with Supervised and Unsupervised learning to help to get to grips with both types of algorithm. We will use the highly popular Scikit-learn library throughout the course while performing various ML tasks. By the end of the course, you will be adept at using the concepts and algorithms involved in Machine Learning."--Resource description page.

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