Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning For Data Streams: With Practical Examples In MoaISBN13:9780262547833ISBN10:026254783XAuthor:Bifet, Albert (Author), Gavalda, Ricard (Author), Holmes, Geoffrey (Author)Description:A Hands-On Approach To Tasks And Techniques In Data Stream Mining And Real-Time Analytics, With Examples In Moa, A Popular Freely Available Open-Source Software Framework Today Many Information Sources--Including Sensor Networks, Financial Markets, Social Networks, And Healthcare Monitoring--Are So-Called Data Streams, Arriving Sequentially And At High Speed Analysis Must Take Place In Real Time, With Partial Data And Without The Capacity To Store The Entire Data Set This Book Presents Algorithms And Techniques Used In Data Stream Mining And Real-Time Analytics Taking A Hands-On Approach, The Book Demonstrates The Techniques Using Moa (Massive Online Analysis), A Popular, Freely Available Open-Source Software Framework, Allowing Readers To Try Out The Techniques After Reading The Explanations The Book First Offers A Brief Introduction To The Topic, Covering Big Data Mining, Basic Methodologies For Mining Data Streams, And A Simple Example Of Moa More Detailed Discussions Follow, With Chapters On Sketching Techniques, Change, Classification, Ensemble Methods, Regression, Clustering, And Frequent Pattern Mining Most Of These Chapters Include Exercises, An Moa-Based Lab Session, Or Both Finally, The Book Discusses The Moa Software, Covering The Moa Graphical User Interface, The Command Line, Use Of Its Api, And The Development Of New Methods Within Moa The Book Will Be An Essential Reference For Readers Who Want To Use Data Stream Mining As A Tool, Researchers In Innovation Or Data Stream Mining, And Programmers Who Want To Create New Algorithms For Moa Binding:Paperback, PaperbackPublisher:MIT PressPublication Date:2023-05-09Weight:1.34 lbsDimensions:0.78'' H x 9'' L x 7'' WNumber of Pages:288Language:English
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Book Title: Machine Learning For Data Streams: With Practical Examples I...
Item Length: 9in
Item Width: 7in
Author: Bernhard Pfahringer, Albert Bifet, Geoffrey Holmes, Ricard Gavalda
Publication Name: Machine Learning for Data Streams : with Practical Examples in MOA
Format: Trade Paperback
Language: English
Publisher: MIT Press
Publication Year: 2023
Series: Adaptive Computation and Machine Learning Ser.
Type: Textbook
Item Weight: 13 Oz
Number of Pages: 288 Pages
