Hands-on Scikit-Learn for Machine Learning Applications

Data Science Fundamentals with Python

Éditeur :

Apress

Paru le : 2019-11-16

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning ...
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Auteur

Éditeur

Collection
n.c

Parution
2019-11-16

Pages
242 pages

EAN papier
9781484253724

Auteur(s) du livre


Dr. David Paper is a professor at Utah State University in the Management Information Systems department. He wrote the book Web Programming for Business: PHP Object-Oriented Programming with Oracle and he has over 70 publications in refereed journals such as Organizational Research Methods, Communications of the ACM, Information & Management, Information Resource Management Journal, Communications of the AIS, Journal of Information Technology Case and Application Research, and Long Range Planning. He has also served on several editorial boards in various capacities, including associate editor. Besides growing up in family businesses, Dr. Paper has worked for Texas Instruments, DLS, Inc., and the Phoenix Small Business Administration. He has performed IS consulting work for IBM, AT&T, Octel, Utah Department of Transportation, and the Space Dynamics Laboratory. Dr. Paper's teaching and research interests include data science, process reengineering, object-oriented programming, electronic customer relationship management, change management, e-commerce, and enterprise integration.

Caractéristiques détaillées - droits

EAN PDF
9781484253731
Prix
56,19 €
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
3308 Ko
EAN EPUB
9781484253731
Prix
56,19 €
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
2294 Ko

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