The Handbook of Data Science and Ai: Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan/ Weidinger, Wolfgang/ Munro, Katherine/ Ortner, Bernhard/ Cadonna, Annalisa
Language: English
Published by Hanser Pub Inc, 2022
- Softcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
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pap/psc edition. 553 pages. 9.75x7.00x1.50 inches. In Stock.
Seller Inventory # __1569908869
- Title
- The Handbook of Data Science and Ai: Generate Value from Data With Machine Learning and Data Analytics
- Author
- Papp, Stefan/ Weidinger, Wolfgang/ Munro, Katherine/ Ortner, Bernhard/ Cadonna, Annalisa
- Publisher
- Hanser Pub Inc
- Publication year
- 2022
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1569908869
- ISBN 13
- 9781569908860
- Item weight
- 0.86 kilograms
- A comprehensive overview of the various fields of application of data science
- Case studies from practice to make the described concepts tangible
- Practical examples to help you carry out simple data analysis projects
The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
Contains these current issues:
- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms.
- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice
- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies
- Computer vision: How can we gain insights from images and videos with data science?
- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios.
- ML and AI in production: How to turn experimentation into a working data science product?
- Presenting your results: Essential presentation techniques for data scientists
Contributors: Stefan Papp / Wolfgang Weidinger / Katherine Munro / Bernhard Ortner / Annalisa Cadonna / Georg Langs / Roxane Licandro / Mario Meir-Huber / Danko Nikoli? / Zoltan Toth / Barbora Vesela / Rania Wazir / Günther Zauner
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About the Author
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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