Data Engineering Science Concepts (15 results)

Taschenbuch. Condition: Neu. Computer Science and Engineering: A Handbook (Concepts) | Concepts of Computational Intelligence: An Introduction - Methods and Techniques, Biological Data Interpretation | Chandan Srivastava | Taschenbuch | 248 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659490545 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Condition: New. 2023. 1st Edition. hardcover. . . . . .

Condition: New. &Uumlber den AutorKukatlapalli Pradeep Kumar, PhD, is an associate professor and the Program Coordinator for Data Science at Christ University, Bangalore, India. He has 13 years of research and academic experience. He has pub.

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Hardcover. Condition: Brand New. 350 pages. 9.25x6.22x1.14 inches. In Stock.

Buch. Condition: Neu. Neuware - DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the 'one-stop shop' for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn't need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.…

Condition: New. 2023. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, we introduce fundamental concept concerning comprehensive statistical and algorithmic techniques in the foremost streamline of computer science and engineering. We present the concept of computational intelligence methods and specific analysis along with examples and case studies from the perspective of a broad coverage and clear exposition of the subject matter. This text is designed for a swift overview and the tools required for solving problems for both the researchers and students. Herewith, this study offers all basic existing dimensions of computer science and engineering theories and computational intelligence algorithms, centrally working towards contemporary modern real-world applications including biological data interpretations and gene feature selections, image enhancement algorithms, IPv6 generator, as well as the fuzzy clustering approach and perspective computing schemes.…