9781569909348 - the handbook of data science and ai: generate value from data with machine learning and data analytics di papp, stefan; weidinger, wolfgang; munro, katherine; cadonna, annalisa; langs, georg (10 risultati)
The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg; Licandro, Roxane; Meir-Huber, Mario; Nikolić, Danko; Toth, Zoltan; Wazir, Rania; Zauner, Günther; Antosova Vesela, Barbora; Bruckmüller, Karin; Eder, Jana; Gorzala, Jeannette; Hahn, Gerald A.; Mata, Christian; McIntyre, Sean; György, Móra; Pasieska, Manuel; Rugli, Victoria
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Da: ZBK Books, Carlstadt, NJ, U.S.A.ZBK Books
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EUR 45,26
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Condizione: like_new. Fast & Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy.
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Da: medimops, Berlin, Germaniamedimops
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Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Handbook of Data Science and Ai : Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 72,94
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Condizione: New.
The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg; Licandro, Roxane; Meir-Huber, Mario; Nikolić, Danko; Toth, Zoltan; Wazir, Rania; Zauner, Günther; Antosova Vesela, Barbora; Bruckmüller, Karin; Eder, Jana; Gorzala, Jeannette; Hahn, Gerald A.; Mata, Christian; McIntyre, Sean; György, Móra; Pasieska, Manuel; Rugli, Victoria
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 75,29
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Condizione: New.
Handbook of Data Science and Ai : Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
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Condizione: As New. Unread book in perfect condition.
Handbook of Data Science and Ai : Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 86,84
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Condizione: As New. Unread book in perfect condition.
Handbook of Data Science and Ai : Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; Cadonna, Annalisa; Langs, Georg
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 92,73
EUR 17,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
The Handbook of Data Science and Ai: Generate Value from Data With Machine Learning and Data Analytics
Papp, Stefan/ Weidinger, Wolfgang/ Munro, Katherine/ Cadonna, Annalisa/ Langs, Georg
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 114,37
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Paperback. Condizione: Brand New. 2nd edition. 573 pages. 9.75x7.25x2.25 inches. In Stock.
The Handbook of Data Science and AI
Munro, Katherine|Papp, Stefan|Toth, Zoltan|Weidinger, Wolfgang|Nikolic, Danko
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Da: moluna, Greven, Germaniamoluna
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EUR 86,83
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. - A comprehensive overview of the various fields of application of data science and artificial intelligence.- Case studies from practice to make the described concepts tangible.- Practical examples to help you carry out simple data analysis projects.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 118,40
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Kombiprodukt. Condizione: Neu. Neuware - - A comprehensive overview of the various fields of application of data science and artificial intelligence.- Case studies from practice to make the described concepts tangible.- Practical examples to help you carry out simple data analysis projects.- BONUS in print edition: Elektronische…s Buch insideData Science, Big Data, Artificial Intelligence and Generative AI 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.Using exercises and real-world examples, it will show you how to apply data science methods, build data platforms, and deploy data- and ML-driven projects to production. It will help you understand - and explain to various stakeholders - how to generate value from such endeavors. Along the way, it will bring essential data science concepts to life, including statistics, mathematics, and machine learning fundamentals, and explore crucial topics like critical thinking, legal and ethical considerations, and building high-performing data teams.Readers of all levels of data familiarity - from aspiring data scientists to expert engineers to data leaders - will ultimately learn: how can an organization become more data-driven, what challenges might it face, and how can they as individuals help make that journey a success.The team of authors consists of data professionals from business and academia, including data scientists, engineers, business leaders and legal experts. All 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.WHATS INSIDE //- Critical Thinking and Data Culture: How evidence driven decision making is the base for effective AI.- Machine Learning Fundamentals: Foundations of mathematics, statistics, and ML algorithms and architectures- Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, for real world applications.- Foundation Models and Generative AI: Understand the strengths and challenges of generative models for text, images, video, and more.- ML and AI in Production: Turning experimentation into a working data science product.- Presenting your Results: Essential presentation techniques for data scientists.
