Data science essentials advanced algorithms and visualizations /

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Bibliographic Details
Author / Creator:	Boschetti, Alberto, author.
Imprint:	[Place of publication not identified] : Packt, [2018]
Description:	1 online resource (1 streaming video file (1 hr., 50 min., 30 sec.)) : digital, sound, color
Language:	English
Subject:	Python (Computer program language) Machine learning. Information visualization. Information visualization. Machine learning. Python (Computer program language) Instructional films. Instructional films.
Format:	E-Resource Video Streaming Video
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13660530

Hidden Bibliographic Details
Other authors / contributors:	Massaron, Luca, author.
Digital file characteristics:	video file
Notes:	Title from title screen (viewed August 27, 2018). Date of publication from resource description page. Presenter: Todd Heppenstall. In English.
Summary:	"This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. We start with SVM and random forest for classification and regression. We look at big data, deep learning, and language processing. Then we use graph analysis techniques for very interesting and trending social media analytics. Finally, we take a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment tools that make it easier to present your results to an audience of both data science experts and business users."--Resource description page.

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