9781032829876 - what every engineer should know about artificial intelligence and big data de srinivasan, satish mahadevan; sangwan, raghvinder s. (8 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 188,43
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
What Every Engineer Should Know About Artificial Intelligence and Big Data
Satish Mahadevan Srinivasan (Penn State Great Valley, USA)|Raghvinder S. Sangwan
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Librería: moluna, Greven, Alemaniamoluna
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EUR 174,62
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Condición: New. Satish Mahadevan Srinivasan is an Associate Professor of Information Science at Pennsylvania State University, Great Valley. He teaches courses related to database design, data mining, data collection and cleaning, data visualization, co.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 230,90
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Hardcover. Condición: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Neuware - Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance. A prevailing trend is emerging toward the adoption of distributed open¿source com…puting for storing big data assets and performing advanced ML/AI analytics to predict future trends and risks for businesses. This book offers readers an overview of the essentials of big data and ML/AI, while acknowledging that the field is extensive and evolving. In addition to focusing on theory, this book shares real¿life experiences building AI and big data analytics systems of value to practitioners. - Features practical case studies on building big data and AI models for large¿scale enterprise solutions - Discusses the use of design patterns for architecting AI that are safe, secure, and testable - Covers an array of concepts, including deep big data analytics, natural language processing, transformer architecture, and evolution of ChatGPT, swarm intelligence, and genetic programming Informed by the authors' many years of teaching ML and AI and working on predictive data analytics/AI projects, this book is suitable for use by graduates, professionals, and researchers within the field of data science and engineers and scientists interested in learning more about these essential technologies.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 188,42
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Hardcover. Condición: new. Hardcover. Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance. A prevailing trend is emerging toward the adoption of distributed opensourc…e computing for storing big data assets and performing advanced ML/AI analytics to predict future trends and risks for businesses. This book offers readers an overview of the essentials of big data and ML/AI, while acknowledging that the field is extensive and evolving. In addition to focusing on theory, this book shares reallife experiences building AI and big data analytics systems of value to practitioners.Features practical case studies on building big data and AI models for largescale enterprise solutionsDiscusses the use of design patterns for architecting AI that are safe, secure, and testableCovers an array of concepts, including deep big data analytics, natural language processing, transformer architecture, and evolution of ChatGPT, swarm intelligence, and genetic programmingInformed by the authors many years of teaching ML and AI and working on predictive data analytics/AI projects, this book is suitable for use by graduates, professionals, and researchers within the field of data science and engineers and scientists interested in learning more about these essential technologies. This book covers the essentials of big data and ML/AI to predict trends and risks for business while acknowledging that the field is extensive and evolving. Rather than focusing on theory, it shares real-life experiences building AI and big data analytics systems of value to practitioners. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance. A prevailing trend is emerging toward the adoption of distributed opensourc…e computing for storing big data assets and performing advanced ML/AI analytics to predict future trends and risks for businesses. This book offers readers an overview of the essentials of big data and ML/AI, while acknowledging that the field is extensive and evolving. In addition to focusing on theory, this book shares reallife experiences building AI and big data analytics systems of value to practitioners.Features practical case studies on building big data and AI models for largescale enterprise solutionsDiscusses the use of design patterns for architecting AI that are safe, secure, and testableCovers an array of concepts, including deep big data analytics, natural language processing, transformer architecture, and evolution of ChatGPT, swarm intelligence, and genetic programmingInformed by the authors many years of teaching ML and AI and working on predictive data analytics/AI projects, this book is suitable for use by graduates, professionals, and researchers within the field of data science and engineers and scientists interested in learning more about these essential technologies. This book covers the essentials of big data and ML/AI to predict trends and risks for business while acknowledging that the field is extensive and evolving. Rather than focusing on theory, it shares real-life experiences building AI and big data analytics systems of value to practitioners. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 191,33
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Hardcover. Condición: new. Hardcover. Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance. A prevailing trend is emerging toward the adoption of distributed opensourc…e computing for storing big data assets and performing advanced ML/AI analytics to predict future trends and risks for businesses. This book offers readers an overview of the essentials of big data and ML/AI, while acknowledging that the field is extensive and evolving. In addition to focusing on theory, this book shares reallife experiences building AI and big data analytics systems of value to practitioners.Features practical case studies on building big data and AI models for largescale enterprise solutionsDiscusses the use of design patterns for architecting AI that are safe, secure, and testableCovers an array of concepts, including deep big data analytics, natural language processing, transformer architecture, and evolution of ChatGPT, swarm intelligence, and genetic programmingInformed by the authors many years of teaching ML and AI and working on predictive data analytics/AI projects, this book is suitable for use by graduates, professionals, and researchers within the field of data science and engineers and scientists interested in learning more about these essential technologies. This book covers the essentials of big data and ML/AI to predict trends and risks for business while acknowledging that the field is extensive and evolving. Rather than focusing on theory, it shares real-life experiences building AI and big data analytics systems of value to practitioners. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
