9789811651595 - foundations of data science for engineering problem solving: 94 (studies in big data, 94) de shinde, gitanjali rahul; mahalle, parikshit narendra; pise, priya dudhale (11 resultados)
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Editorial: Springer Verlag, Singapore, Singapore 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Hardcover. Condición: new. Hardcover. 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. Mac…hine 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. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: Brook Bookstore, Milano, MI, ItaliaBrook Bookstore
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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
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 140,06
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Condición: New. In.
Idioma: Inglés
Editorial: Springer Nature Singapore, Springer Nature Singapore 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: 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 alg…orithms 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.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 131 pages. 9.25x6.10x0.55 inches. In Stock.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. 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. Mac…hine 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. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
- Tapa dura
- Impresión bajo demanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 143,20
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Hardcover. Condición: Brand New. 131 pages. 9.25x6.10x0.55 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer Nature Singapore Aug 2021 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 149,79
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Buch. Condición: 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 decisi…ons 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
Idioma: Inglés
Editorial: Springer, Berlin|Springer Nature Singapore|Springer 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: moluna, Greven, Alemaniamoluna
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EUR 127,40
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Gebunden. Condición: 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.
Idioma: Inglés
Editorial: Springer Nature Singapore, Springer Nature Singapore Aug 2021 2021
Serie: Studies in Big Data, Libro 85 de 95. Libro 85 de 95 - Studies in Big Data
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 149,79
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Buch. Condición: 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.
