Business Analytics Python by Olson David (41 results)

- Hardcover
Seller: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
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- Softcover
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- Softcover
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- Hardcover
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- Hardcover
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Hardcover. Condition: new. Hardcover. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what h…as happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 5 describes cluster analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
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- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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- Hardcover
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- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 2024 ed.

Business Analytics with R and Python (AI for Risks)
Olson, David L. (Author)/ Wu, Desheng Dash (Author)/ Luo, Cuicui (Author)/ Nabavi, Majid (Author)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.

- Softcover
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- Hardcover
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Business Analytics with R and Python (AI for Risks)
Olson, David L. David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi,
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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hardcover. Condition: New.

Business Analytics with R and Python (AI for Risks)
Olson, David L.; Wu, Desheng Dash; Luo, Cuicui; Nabavi, Majid
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
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£ 61.08
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Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what h…as happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. 208 pp. Englisch.

- Softcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what h…as happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. 208 pp. Englisch.

- Softcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
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£ 61.08
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Taschenbuch. Condition: Neu. Neuware -This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what h…as happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.

Business Analytics with R and Python (AI for Risks)
Olson, David L. (Author)/ Wu, Desheng Dash (Author)/ Luo, Cuicui (Author)/ Nabavi, Majid (Author)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 206 pages. 9.25x6.10x9.25 inches. In Stock.

Business Analytics with R and Python (AI for Risks)
Olson, David L.; Wu, Desheng Dash; Luo, Cuicui; Nabavi, Majid
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 84.23
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Condition: New. 2024th edition NO-PA16APR2015-KAP.

- Hardcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
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Condition: NEW.

Business Analytics with R and Python (AI for Risks)
Olson, David L. (Author)/ Wu, Desheng Dash (Author)/ Luo, Cuicui (Author)/ Nabavi, Majid (Author)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.

Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024
- Hardcover
Seller: moluna, Greven, Germanymoluna
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£ 64.14
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Condition: New. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, d.

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 53.66
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Taschenbuch. Condition: Neu. Business Analytics with R and Python | David L. Olson (u. a.) | Taschenbuch | AI for Risks | x | Englisch | 2025 | Springer | EAN 9789819747740 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 87.22
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Hardcover. Condition: new. Hardcover. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what h…as happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 5 describes cluster analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 62.79
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Taschenbuch. Condition: Neu. Neuware - This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what…has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.