The Handbook of Data Science and AI: Generate Value from Data With Machine Learning and Data Analytics - Rilegato
Sinossi
Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:
- 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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
The team of authors consists of data experts from business and academia. The spectrum ranges from executives to data engineers who create production systems, to data scientists who generate value from data. All authors are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and Machine Learning and raising awareness of the opportunities and potential risks of these technologies.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
Editore:
Hanser Publications, 2022
ISBN 10: 1569908869
ISBN 13: 9781569908860
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The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
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Hanser Publications, 2022
ISBN 10: 1569908869
ISBN 13: 9781569908860
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The Data Science Handbook
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Paperback. Condizione: New. Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:- 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 projectsThe 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 scientistsContributors: 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. Codice articolo LU-9781569908860
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The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
Editore:
Hanser Publications, 2022
ISBN 10: 1569908869
ISBN 13: 9781569908860
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Hardcover. Condizione: Fine. Leichte Rillen / Abschurfungen / Risse / Knicke. Data Science, Big Data, and Artificial Intelligence are among the most discussed yet misunderstood concepts today. This book aims to clarify these topics and equip you with practical knowledge for application. It offers a comprehensive overview of data science applications, supported by case studies that make the concepts tangible and practical examples to guide you in simple data analysis projects. The book explores data science from multiple perspectives, emphasizing how to build data platforms and utilize data science tools and methods. It will help you articulate how to create value through these techniques, enabling organizations to make quicker decisions, reduce costs, and explore new markets. Fundamental concepts such as statistics, mathematics, and legal considerations are brought to life, complemented by case studies that demonstrate the long-term impact of data-driven insights across various industries.Key topics include: foundational mathematics for Machine Learning, covering algorithms; a range of Machine Learning frameworks from statistical methods to neural networks; Natural Language Processing techniques for extracting insights from text; Computer Vision for analyzing images and videos; modeling complex systems like COVID-19 for scenario analysis; transitioning from experimentation to production-ready data science products; and essential presentation techniques for effectively communicating results. Codice articolo 7db5a86e-26b9-4949-9eb6-599600ff1aaf
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Paperback. Condizione: new. Paperback. Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:- 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 projectsThe 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 scientistsContributors: 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 / Guenther Zauner Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide the practical knowledge to apply them. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781569908860
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