Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: moluna, Greven, Alemania
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: Majestic Books, Hounslow, Reino Unido
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data science is a multidisciplinary field that involves the extraction of knowledge and insights from data using various scientific methods, processes, algorithms, and systems. It combines elements from statistics, mathematics, computer science, and domain knowledge to understand and analyze complex data sets.The goal of data science is to uncover patterns, trends, and relationships in data that can be used to make informed decisions, solve problems, and drive business outcomes. It involves collecting, cleaning, and transforming raw data into a usable format, applying statistical techniques and machine learning algorithms to extract meaningful information, and communicating the findings to stakeholders.Data scientists use a wide range of tools and technologies, including programming languages like Python and R, statistical modeling techniques, data visualization tools, and big data platforms. They work with large and diverse data sets, which can include structured data from databases, unstructured data from social media or text documents, and streaming data from sensors or IoT devices.Data science has applications in various industries, including finance, healthcare, marketing etc. 116 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 77,40
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 60,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data science is a multidisciplinary field that involves the extraction of knowledge and insights from data using various scientific methods, processes, algorithms, and systems. It combines elements from statistics, mathematics, computer science, and domain knowledge to understand and analyze complex data sets.The goal of data science is to uncover patterns, trends, and relationships in data that can be used to make informed decisions, solve problems, and drive business outcomes. It involves collecting, cleaning, and transforming raw data into a usable format, applying statistical techniques and machine learning algorithms to extract meaningful information, and communicating the findings to stakeholders.Data scientists use a wide range of tools and technologies, including programming languages like Python and R, statistical modeling techniques, data visualization tools, and big data platforms. They work with large and diverse data sets, which can include structured data from databases, unstructured data from social media or text documents, and streaming data from sensors or IoT devices.Data science has applications in various industries, including finance, healthcare, marketing etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206784851 ISBN 13: 9786206784852
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 61,63
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data science is a multidisciplinary field that involves the extraction of knowledge and insights from data using various scientific methods, processes, algorithms, and systems. It combines elements from statistics, mathematics, computer science, and domain knowledge to understand and analyze complex data sets.The goal of data science is to uncover patterns, trends, and relationships in data that can be used to make informed decisions, solve problems, and drive business outcomes. It involves collecting, cleaning, and transforming raw data into a usable format, applying statistical techniques and machine learning algorithms to extract meaningful information, and communicating the findings to stakeholders.Data scientists use a wide range of tools and technologies, including programming languages like Python and R, statistical modeling techniques, data visualization tools, and big data platforms. They work with large and diverse data sets, which can include structured data from databases, unstructured data from social media or text documents, and streaming data from sensors or IoT devices.Data science has applications in various industries, including finance, healthcare, marketing etc.