Data science isn't just another job /

"The growing corporate excitement about machine learning and AI has led to a push to professionalize the practice of data science. Unfortunately, because enterprises tend to create technology silos, this threatens to destroy the most valuable aspect of data science itself. Peter Wang explores w...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2019.
Temas:
O'Reilly Strata Data Conference > (2019 : > New York, N.Y.)
Machine learning.
Artificial intelligence.
Business enterprises > Data processing.
Open source software.
Electronic data processing personnel > Vocational guidance.
Artificial Intelligence
Apprentissage automatique.
Intelligence artificielle.
Entreprises > Informatique.
Logiciels libres.
Informatique > Personnel > Orientation professionnelle.
artificial intelligence.
Artificial intelligence
Business enterprises > Data processing
Electronic data processing personnel > Vocational guidance
Machine learning
Open source software
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"The growing corporate excitement about machine learning and AI has led to a push to professionalize the practice of data science. Unfortunately, because enterprises tend to create technology silos, this threatens to destroy the most valuable aspect of data science itself. Peter Wang explores why data science shouldn't be seen as merely another technical job within the business and why open source is such a critical aspect of innovation in the field of data science. This session is from the 2019 O'Reilly Strata Conference in New York, NY and is sponsored by Anaconda."--Resource description page
Notas:Title from title screen (viewed July 24, 2020).
Descripción Física:1 online resource (1 streaming video file (36 min., 10 sec.))

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