Lynda - Mathematica 11 Machine Learning

Category: Tutorial

Tag: Database/SQL


Posted on 2017-09-12, by nokia241186.

Description




Lynda - Mathematica 11 Machine Learning
Size: 121 MB | Duration: 1h 16m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English
Learn how to analyze data using the machine learning capabilities built into Mathematica 11.



In this course, Curt Frye provides an overview of machine learning tasks, explains how to separate training data from test data, and shows how to import data from a file. He also demonstrates how to prepare data for machine learning, including how to replace values near zero with zero and sort elements using a rule. Curt also covers determining functions that generate data and performing supervised machine learning tasks.

Separating training data from test data
Importing data from a file
Preparing data for machine learning
Grouping and sorting elements using a rule
Determining functions that generate data
Finding a fit using a linear model
Performing supervised learning tasks
Classifying items using training data
Identifying data clusters





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