Spark for Machine Learning & AI

Spark for Machine Learning & AI

with Dan Sullivan
Electronic Video - 2017

Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.

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Detalles Bibliográficos
Autor Corporativo: linkedin.com (Firm)
Otros Autores: Sullivan, Dan (Orador)
Formato: Electrónico Video
Lenguaje:English
Publicado: Carpenteria, CA linkedin.com, 2017.
Materias:
Acceso en línea:View course details on linkedin.com/learning

MARC

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520 |a Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more. 
511 1 |a Presenter: Dan Sullivan 
520 |a Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. Instructor Dan Sullivan discusses MLlib—the Spark machine learning library—which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. He shows how to use DataFrames to organize data structure, and he covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. By the end of the course, you will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
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