Buch. Condition: 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 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. 132 pp. Englisch. Seller Inventory # 9789811651595

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Foundations of Data Science for Engineering Problem Solving

Mahalle, Parikshit Narendra|Shinde, Gitanjali Rahul|Pise, Priya Dudhale|Deshmukh, Jyoti Yogesh

Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021

ISBN 10: 9811651590 ISBN 13: 9789811651595

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Gebunden. Condition: 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. Seller Inventory # 485171072

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Foundations of Data Science for Engineering Problem Solving

Parikshit Narendra Mahalle

Published by Springer Nature Singapore, Springer Nature Singapore, 2021

ISBN 10: 9811651590 ISBN 13: 9789811651595

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Seller: AHA-BUCH GmbH, Einbeck, Germany

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Buch. Condition: 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 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. Seller Inventory # 9789811651595

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