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Machine learning fundamentals /

"You'll begin by learning how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithm over 1990 US C...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Saleh, Hyatt (Autor)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Packt Publishing, 2019.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Saleh, Hyatt,  |e author. 
245 1 0 |a Machine learning fundamentals /  |c Hyatt Saleh, Samik Sen. 
246 1 |i Sub-title on title screen:  |a Use Python and scikit-learn to get up and running with the hottest developments in AI 
264 1 |a [Place of publication not identified] :  |b Packt Publishing,  |c 2019. 
300 |a 1 online resource (1 streaming video file (3 hr., 18 min., 45 sec.)) 
336 |a two-dimensional moving image  |b tdi  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
337 |a video  |b v  |2 rdamedia 
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347 |a video file 
511 0 |a Presenter, Samik Sen. 
500 |a Title from resource description page (Safari, viewed April 11, 2019). 
520 |a "You'll begin by learning how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithm over 1990 US Census dataset, to discover patterns and profiles, and explore the process to solve a supervised machine learning problem. Then, the focus of the course shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve performance of the algorithm by tuning hyperparameters. When it finishes, this course would have given you the skills and confidence to start programming machine learning algorithms."--Resource description page 
542 |f Copyright © Packt Publishing  |g 2019 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Machine learning. 
650 0 |a Python (Computer program language) 
650 0 |a Artificial intelligence. 
650 6 |a Apprentissage automatique. 
650 6 |a Python (Langage de programmation) 
650 6 |a Intelligence artificielle. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a Artificial intelligence.  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Python (Computer program language)  |2 fast  |0 (OCoLC)fst01084736 
655 4 |a Electronic videos. 
700 1 |a Sen, Samik,  |e on-screen presenter. 
776 0 |z 1789958385 
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994 |a 92  |b IZTAP