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Machine Learning

In this talk, Etienne presents the new machine learning functionalities of the Wolfram Language (Classify, Predict, and related functions). These functionalities aim to simplify the practice of machine learning by automatizing parts of its workflow. Etienne shows how to use these functions, explains the underlying algorithms, and discusses future developments.

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Channels: Virtual Events

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701 videos match your search.
19 | Associations2:57
19 | Dates and Times6:52
20 | Natural Language Input2:44
20 | Options7:48
21 | Graphs and Networks9:43
21 | Real-World Entities3:39
22 | Interpreters 1:49
22 | Machine Learning8:18
23 | Cloud Deployment 3:19
23 | More about Numbers8:57
24 | Making Documents3:33
24 | More Forms of Visualization6:42
25 | Managing Sessions3:15
25 | Ways to Apply Functions6:24
26 | External Connections2:36
26 | Pure Anonymous Functions6:13
27 | Applying Functions Repeatedly 9:07
28 | Tests and Conditionals7:42
29 | More about Pure Functions5:16
292 Formats and Counting: Importing and Exporting Data 14:45
Paul Wellin
This Wolfram Mathematica Virtual Conference 2011 course uses application-driven examples to show how straightforward it is to get data into and out of Mathematica using its Import and Export functionality.