The textbook provides students with tools they need to analyze
complex data using methods from data science, machine learning and
artificial intelligence. The authors include both the presentation
of methods along with applications using the programming language
R, which is the gold standard for analyzing data. The authors cover
all three main components of data science: computer science;
mathematics and statistics; and domain knowledge. The book presents
methods and implementations in R side-by-side, allowing the
immediate practical application of the learning concepts.
Furthermore, this teaches computational thinking in a natural way.
The book includes exercises, case studies, Q&A and examples.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Release date: |
September 2023 |
| First published: |
2023 |
| Authors: |
Frank Emmert-Streib
• Salissou Moutari
• Matthias Dehmer
|
| Dimensions: |
235 x 155mm (L x W) |
| Format: |
Hardcover
|
| Pages: |
300 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-113338-1 |
| Categories: |
Books
|
| LSN: |
3-03-113338-2 |
| Barcode: |
9783031133381 |
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