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Published by O'Reilly Media, Incorporated, 2015
ISBN 10: 1491936584 ISBN 13: 9781491936580
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Published by O'Reilly Media, Incorporated, 2015
ISBN 10: 1491936584 ISBN 13: 9781491936580
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Used book that is in clean, average condition without any missing pages.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028246 ISBN 13: 9781032028248
Language: English
Seller: Big River Books, Powder Springs, GA, U.S.A.
Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Published by Oreilly & Associates Inc, 2015
ISBN 10: 1491936584 ISBN 13: 9781491936580
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 150 pages. 9.00x6.00x0.30 inches. In Stock.
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032028246 ISBN 13: 9781032028248
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Fine.
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Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030375986 ISBN 13: 9783030375980
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications. This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119863376 ISBN 13: 9781119863373
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofsespecially of key resultsand includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisionsTo apply effective data dimension reduction tools to enhance supervised learningTo describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Published by Springer Nature B.V., 2023
ISBN 10: 3031258924 ISBN 13: 9783031258923
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Springer Nature B.V., 2023
ISBN 10: 3031258924 ISBN 13: 9783031258923
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
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