Dealing with real-world data. Part 1, Introduction to real-world machine learning /

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"This course covers a subject central to the practice of data science and machine learning: the tricky and often overlooked problem of how to deal with real-world data. It provides an overview of the things data scientists think about when gaining access to a data set. You'll learn about d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Staglianò, Alessandra (Orador), Ma, Angie (Orador), Willis, Gary (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, [2017]
Temas:
Regression analysis.
Machine learning.
Artificial intelligence.
Regression Analysis
Artificial Intelligence
Analyse de régression.
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"This course covers a subject central to the practice of data science and machine learning: the tricky and often overlooked problem of how to deal with real-world data. It provides an overview of the things data scientists think about when gaining access to a data set. You'll learn about data types, data exploration, the curse of dimensionality, PCA, model evaluation, and more, in this pragmatic introduction to the terminology and concepts surrounding data and machine learning. Learners with a basic working knowledge of mathematics will be able to enjoy the course and immediately start working on machine learning problems."--Resource description page
Notas:Title from title screen (viewed September 26, 2017).
"Part 1 of 6."
Date of publication taken from resource description page.
Descripción Física:1 online resource (1 streaming video file (41 min., 34 sec.))

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