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Beginning data analytics with RapidMiner : understanding core analytical methods and how to use them in RapidMiner /
"This course is designed for the person who is new to the science of data analytics, who has completed at least one college-level math class, and is comfortable with basic statistics. The course explains the core methods used in data analytics and how to apply those methods in conjunction with...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a North, Matthew, |e speaker. | |
| 245 | 1 | 0 | |a Beginning data analytics with RapidMiner : |b understanding core analytical methods and how to use them in RapidMiner / |c with Matthew North. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2016] | |
| 300 | |a 1 online resource (1 streaming video file (1 hr., 56 min., 18 sec.)) : |b digital, sound, color | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 511 | 0 | |a Presenter, Matthew North. | |
| 500 | |a Title from title screen (viewed September 27, 2016). | ||
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "This course is designed for the person who is new to the science of data analytics, who has completed at least one college-level math class, and is comfortable with basic statistics. The course explains the core methods used in data analytics and how to apply those methods in conjunction with RapidMiner, a free and easy-to-use (no programming knowledge required) data analytics platform. You'll first learn about the features of RapidMiner, configuring it, and how to connect to a variety of data sets, and then move into a detailed survey of the analytical methods incorporated within the software. Topics covered include correlation, association rules, k-means clustering, k-nearest neighbors, discriminant analysis, Naive Bayes, linear and logistic regression, neural networks, decision trees, and text analysis."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a RapidMiner (Electronic resource) |
| 630 | 0 | 7 | |a RapidMiner (Electronic resource) |2 fast |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491969137/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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