9789811651595 - foundations of data science for engineering problem solving: 94 di mahalle, parikshit narendra; shinde, gitanjali rahul; pise, priya jeevan; deshmukh, jyoti yogesh (10 risultati)
Foundations of Data Science for Engineering Problem Solving: 94 (Studies in Big Data, 94) [Hardcover] [Aug 22, 2021] Mahalle, Parikshit Narendra; Shinde, Gitanjali Rahul; Pise, Priya Dudhale and Deshmukh, Jyoti Yogesh
Mahalle, Parikshit Narendra; Shinde, Gitanjali Rahul; Pise, Priya Dudhale; Deshmukh, Jyoti Yogesh
Lingua: Inglese
Editore: Springer, 2021
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Foundations of Data Science for Engineering Problem Solving (Studies in Big Data, 94)
Mahalle, Parikshit Narendra; Shinde, Gitanjali Rahul; Pise, Priya Dudhale; Deshmukh, Jyoti Yogesh
Lingua: Inglese
Editore: Springer, 2021
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Foundations of Data Science for Engineering Problem Solving (Studies in Big Data, 94)
Mahalle, Parikshit Narendra; Shinde, Gitanjali Rahul; Pise, Priya Dudhale; Deshmukh, Jyoti Yogesh
Lingua: Inglese
Editore: Springer, 2021
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI al…gorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
Lingua: Inglese
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decis…ions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses. 132 pp. Englisch.
Foundations of Data Science for Engineering Problem Solving
Mahalle, Parikshit Narendra|Shinde, Gitanjali Rahul|Pise, Priya Dudhale|Deshmukh, Jyoti Yogesh
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2021
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Big data modelling and visualization techniques of collected data play a vital role in the field of data science.This book is one-stop shop which offers essential information one must know and can implement… in real-time business expansions to solve engi.
Altre immaginiLingua: Inglese
Editore: Springer, 2021
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Buch. Condizione: Neu. Foundations of Data Science for Engineering Problem Solving | Parikshit Narendra Mahalle (u. a.) | Buch | Studies in Big Data | xiv | Englisch | 2021 | Springer | EAN 9789811651595 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spring…er[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Aug 2021, 2021
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions… using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
