Køb for 499 kr mere for gratis levering til pakkeshop
499 kr
Pakkeshop
599 kr
Hjemmelevering
Gemte
Log ind
0
Kurv
Kurv
Data Science and Machine Learning for Non-Programmers
- Using SAS Enterprise Miner
Engelsk
Bogcover for Data Science and Machine Learning for Non-Programmers af Dothang Truong, 9780367751968
Specifikationer
Sprog:
Engelsk
Sider:
577
ISBN-13:
9780367751968
Indbinding:
Paperback
ISBN-10:
0367751968
Udg. Dato:
31 dec 2025
Størrelse i cm:
17,9 x 25,4 x 3,5
Oplagsdato:
31 dec 2025
Forfatter(e):

Data Science and Machine Learning for Non-Programmers

- Using SAS Enterprise Miner
Engelsk
Paperback 2025
Format:

Bog beskrivelse

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.

Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.

Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

... Vis mere

Forlags Vejl. pris
559,19 kr
Januarudsalg
489 kr
spar 13%
Læg i kurv nu
Fri fragt over 499,-
Sikker betaling
6 - 8 hverdage

Specifikationer
Sprog:
Engelsk
Sider:
577
ISBN-13:
9780367751968
Indbinding:
Paperback
ISBN-10:
0367751968
Udg. Dato:
31 dec 2025
Størrelse i cm:
17,9 x 25,4 x 3,5
Oplagsdato:
31 dec 2025
Forfatter(e):
Finder produkter...
Kategori sammenhænge