Foundations of Data Science for Engineering Problem Solving

Language: English

Published by Springer Nature Singapore, 2022

9811651620 / 9789811651625

Series: Book 85 of 95 - Studies in Big Data

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Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.

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Title
Foundations of Data Science for Engineering Problem Solving
Author
Parikshit Narendra Mahalle, Jyoti Yogesh Deshmukh, Priya Dudhale Pise, Gitanjali Rahul Shinde
Publisher
Springer Nature Singapore
Publication year
2022
Condition
Hervorragend
Binding
Soft cover
Language
English
ISBN 10
9811651620
ISBN 13
9789811651625
Series
Book 85 of 95: Studies in Big Data
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Buchpark

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