Dealing with real-world data. Part 1, Introduction to real-world machine learning / with Alessandra Staglianò, Angie Ma, and Gary Willis

Author: Staglianò, Alessandra
Additional Titles: Introduction to real-world machine learning
Published: [Place of publication not identified] : O'Reilly, [2017]
Physical Description: 1 online resource (1 streaming video file (41 min., 34 sec.))
Additional Creators: Ma, Angie and Willis, Gary

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Summary

"This course covers a subject central to the practice of data science and machine learning: the tricky and often overlooked problem of how to deal with real-world data. It provides an overview of the things data scientists think about when gaining access to a data set. You'll learn about data types, data exploration, the curse of dimensionality, PCA, model evaluation, and more, in this pragmatic introduction to the terminology and concepts surrounding data and machine learning. Learners with a basic working knowledge of mathematics will be able to enjoy the course and immediately start working on machine learning problems."--Resource description page

Subject(s)

Note

Title from title screen (viewed September 26, 2017).
"Part 1 of 6."
Date of publication taken from resource description page.

Participant/Performer Note

Presenters, Alessandra Staglianò, Angie Ma, and Gary Willis.

View MARC record | catkey: 37444474