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142554685
Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python (Animals)
Item #:
142554685
XOF 41818
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- Neuauflage des Standardwerks, jetzt zu Python 3.6 - Der ideale Einstieg in Data Science - didaktisch klug angelegt und gut nachvollziehbar - Bietet mathematisches Hintergrundwissen und einen Crashkurs für Python - Enthält neues Material zu Deep Learning, Statistik und Natural Language Processing Dieses Buch führt Sie in Data Science ein, indem es grundlegende Prinzipien der Datenanalyse erläutert und Ihnen geeignete Techniken und Werkzeuge vorstellt. Sie lernen nicht nur, wie Sie Bibliotheken, Frameworks, Module und Toolkits konkret einsetzen, sondern implementieren sie auch selbst. Dadurch entwickeln Sie ein tieferes Verständnis für die Zusammenhänge und erfahren, wie essenzielle Tools und Algorithmen der Datenanalyse im Kern funktionieren. Falls Sie Programmierkenntnisse und eine gewisse Sympathie für Mathematik mitbringen, unterstützt Joel Grus Sie dabei, mit den mathematischen und statistischen Grundlagen der Data Science vertraut zu werden und sich Programmierfähigkeiten anzueignen, die Sie für die Praxis benötigen. Dabei verwendet er Python: Die weit verbreitete Sprache ist leicht zu erlernen und bringt zahlreiche Bibliotheken für Data Science mit.
| Publisher | O'Reilly |
| Publication date | 21 Nov. 2019 |
| Edition | 2nd |
| Language | German |
| Print length | 379 pages |
| ISBN-10 | 3960091230 |
| ISBN-13 | 978-3960091233 |
| Dimensions | 16.4 x 2.7 x 23.8 cm |
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Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python (Animals)
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Features & Benefits
- New edition updated for Python 3.6.
- Comprehensive introduction to Data Science principles.
- Includes mathematical background and a Python crash course.
- Features new material on Deep Learning, Statistics, and NLP.
- Teaches practical implementation of libraries and algorithms.
- Enhances programming skills through engaging content.
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