Advances in Quantitative Ethnography, Brendan Eagan; Morten Misfeldt; Amanda Siebert-Eve
Автор: Alessandro Antonucci; Laurence Cholvy; Odile Papin Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ISBN: 3319615807 ISBN-13(EAN): 9783319615806 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, held in Lugano, Switzerland, in July 2017.
Автор: S?bastien Destercke; Thierry Denoeux Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ISBN: 3319208063 ISBN-13(EAN): 9783319208060 Издательство: Springer Рейтинг: Цена: 67080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiegne, France, in July 2015.
Автор: Balsamo Название: New Frontiers in Quantitative Methods in Informatics ISBN: 3319916319 ISBN-13(EAN): 9783319916316 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 7th Workshop on New Frontiers in Quantitative Methods in Informatics, InfQ 2017, held in Venice, Italy, in December 2017. The 11 revised full papers and the one revised short paper presented were carefully reviewed and selected from 22 submissions. applications of quantitative modeling;
Автор: Guida Название: Big Data and Machine Learning in Quantitative Investment ISBN: 1119522196 ISBN-13(EAN): 9781119522195 Издательство: Wiley Рейтинг: Цена: 44350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Get to know the 'why' and 'how' of machine learning and big data in quantitative investment
Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it's a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.
The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning.
- Gain a solid reason to use machine learning
- Frame your question using financial markets laws
- Know your data
- Understand how machine learning is becoming ever more sophisticated
Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment -- and this book shows you how.
Автор: Li Yongming Et Al Название: Quantitative Logic And Soft Computing - Proceedings Of The Ql&Sc 2012 ISBN: 9814401528 ISBN-13(EAN): 9789814401524 Издательство: World Scientific Publishing Рейтинг: Цена: 242880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their researches, results, ideas, developments and applications in such areas as quantitative logic, many-valued logic, fuzzy logic and more. This book provides an introduction to fuzzy reasoning and soft computing.
Автор: Shumar Wesley Название: Inside Mathforum.org ISBN: 110713885X ISBN-13(EAN): 9781107138858 Издательство: Cambridge Academ Рейтинг: Цена: 109830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details how the Math Forum uses the internet and digital media to support learning interactions of teachers and students. It is a case study for university students, pre-service teachers, and faculty members interested in how learning and professional development can be supported by digital media and online spaces.
Автор: Shumar Wesley Название: Inside Mathforum.org ISBN: 1316503674 ISBN-13(EAN): 9781316503676 Издательство: Cambridge Academ Рейтинг: Цена: 33790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details how the Math Forum uses the internet and digital media to support learning interactions of teachers and students. It is a case study for university students, pre-service teachers, and faculty members interested in how learning and professional development can be supported by digital media and online spaces.
Автор: Ratha N.K., Govindaraju Venu Название: Advances in Biometrics / Sensors, Systems and Algorithms ISBN: 1846289203 ISBN-13(EAN): 9781846289200 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management. This book offers coverage of a gamut of topics in the field, including sensors, data acquisition, pattern-matching algorithms, and issues that impact at the system level.
Автор: Gordana Jovanovic Dolecek Название: Advances in Multirate Systems ISBN: 3319592734 ISBN-13(EAN): 9783319592732 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers readers a single-source reference to the implementation aspects of multirate systems, advances in design of comb decimation filters and multirate filter banks. The authors describe a variety of the most recent applications in fields such as, image and video processing, digital communications, software and cognitive radio.
Автор: Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladim Название: Advances in Neural Computation, Machine Learning, and Cognitive Research ISBN: 3319666037 ISBN-13(EAN): 9783319666037 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning.
Автор: Ganesh R. Naik Название: Advances in Principal Component Analysis ISBN: 9811067031 ISBN-13(EAN): 9789811067037 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail.
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