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Zustand: 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.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

paperback. Zustand: Very Good. Cover and edges may have some wear.

Zustand: as new. Wie neu/Like new.

Zustand: 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.

8° Broschiert. Zustand: Sehr gut. 52 Seiten mit Abbildungen Ausgetragenes Bibliotheksexemplar; Broschur lagerspurig, mit Abrieb, Aufkleber und Eintrag auf dem Vorsatz; Papier innen jedoch sehr gut, fast neuwertig. MIG-06-03A Sprache: Deutsch Gewicht in Gramm: 138.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Zustand: Brand New. pap/psc edition. 553 pages. 9.75x7.00x1.50 inches. In Stock.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 573.

mit Abb. 15 X 22 cm 95 Seiten Sprache: Deutsch Einband: Pappegeb. OHNE Schutzumschlag 290 gr.

mit Abb. 15 X 22 cm 95 Seiten Sprache: Deutsch Einband: Pappegeb. OHNE Schutzumschlag 290 gr.

Zustand: 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.

hardcover. Zustand: Wie neu. 551 Seiten; NEUWERTIG und ungelesen. neuwertig und ungelesen AF 129352 Sprache: Deutsch Gewicht in Gramm: 500.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Verlag für Amerikanistik, Wyk auf Föhr, 1989, 64 S., gebundene Ausgabe---- gutes Exemplar - 216 Gramm.

Paperback. Zustand: Brand New. 2nd edition. 573 pages. 9.75x7.25x2.25 inches. In Stock.

Zustand: New.

Zustand: 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.

Hardcover. Zustand: Brand New. 1000 pages. 6.69x2.06x9.45 inches. In Stock.

Buch. Zustand: Neu. The Handbook of Data Science and AI | Generate Value from Data with Machine Learning and Data Analytics | Stefan Papp (u. a.) | Buch | 1000 S. | Englisch | 2026 | Hanser Publications | EAN 9781569905159 | Verantwortliche Person für die EU: Carl Hanser Verlag GmbH & [.], Vilshofener Str. 10, 81679 München, info[at]hanser[dot]de | Anbieter: preigu.

Buch. Zustand: 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. NEW in the 3rd edition: Chapters on Vibe Coding and AI AgentsData 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 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.WHAT'S 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. AI Agents and Vibe Coding: Using AI in practice and creating new solutions. Presenting your Results: Essential presentation techniques for data scientists.Hanser Fachbuchverlag, Kolberger Str. 22, 81679 München 1004 pp. Englisch.

Buch. Zustand: 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.- NEW in the 3rd edition: Chapters on Vibe Coding and AI AgentsData 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 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. WHAT'S 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.- AI Agents and Vibe Coding: Using AI in practice and creating new solutions.- Presenting your Results: Essential presentation techniques for data scientists.

Buch. Zustand: 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. NEW in the 3rd edition: Chapters on Vibe Coding and AI AgentsData 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 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.WHAT'S 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. AI Agents and Vibe Coding: Using AI in practice and creating new solutions. Presenting your Results: Essential presentation techniques for data scientists. 1004 pp. Englisch.

Ohne Stempel, keine An-und Unterstreichungen. Zustand: sehr gut. Softcover. Kein Versand aufgrund von EPR Regelungen in EU-Länder außerhalb Deutschlands. No shipping to EU countries outside of Germany due to EPR regulations.

63 S. m. Abb., ill. OPbd., E. A. (Hinterer Deckel mit wenigen leichten Kratzspuren, sonst gut) Versand per Deutsche Post /DHL. Vorkasse grundsätzlich vorbehalten. Because of the EPR Regulation NO shippimg possible to Austria, Bulgaria, France, Greece, Luxembourg, Poland, Romania, Swede, Slovakia, Spain. Sprache: Deutsch Gewicht in Gramm: 300.