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Sinopsis
This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.
Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc.
The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors."Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Wang He Currently works in Xiaomi's commercial algorithm department, engaged in the research and development of ad recommendation in app stores. He has participated in many domestic and international algorithm competitions from 2018 to 2020, and won 5 championships and 5 runner-ups, and was the champion of Tencent Advertising Algorithm Competition in 2019 and 2020. He graduated from the School of Computer Science of Wuhan University with a master's degree, and his research interest is focusing on graph data mining.
Peng Liu is an algorithm engineer at Huawei Technologies Co., Ltd. and is engaged in the research and development of algorithms in the field of telecom operators and intelligent operation and maintenance. he graduated from Wuhan University in 2016 with a bachelor's degree in mathematics base class, and was admitted to the Department of Automation at the University of Science and Technology of China. His research interests during his master's degree are complex networks andmachine learning, and he has won several awards in machine learning-related competitions since 2018.
Qian Qian is the Software Algorithm Expert, working on research and development of 3d point cloud perception algorithm for Innovusion. He studied at Georgia Tech University in the U.S., and his research interests include machine learning, deep learning, natural language processing, point cloud, etc.
De la contraportada
This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.
Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc.
The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.
"Sobre este título" puede pertenecer a otra edición de este libro.
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MACHINE LEARNING CONTESTS: A GUIDEBOOK
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-312492
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Machine Learning Contests: A Guidebook
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26397669300
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Machine Learning Contests: A Guidebook
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Condición: New. Nº de ref. del artículo: 398740587
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Machine Learning Contests: A Guidebook
Librería: ALLBOOKS1, Direk, SA, Australia
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address. Nº de ref. del artículo: SHUB15525
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Machine Learning Contests: A Guidebook
Librería: ALLBOOKS1, Direk, SA, Australia
Calificación del vendedor: 5 de 5 estrellas
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address. Nº de ref. del artículo: SHUB294984
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Machine Learning Contests: A Guidebook
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. Nº de ref. del artículo: 18397669310
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Machine Learning Contests: A Guidebook
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9789819937226_new
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Machine Learning Contests: A Guidebook
Publicado por
Springer Nature Singapore Sep 2023, 2023
ISBN 10: 9819937221
ISBN 13: 9789819937226
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc.The authors, also knew as 'competition professionals', will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors. 416 pp. Englisch. Nº de ref. del artículo: 9789819937226
Cantidad disponible: 2 disponibles
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Machine Learning Contests: A Guidebook
Publicado por
Springer Nature Singapore, 2023
ISBN 10: 9819937221
ISBN 13: 9789819937226
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brings together years of practical experience in competition circles by the contest winnersSystematically introduces the algorithm competition with combination of basic theory and competition skillsProvides the readers with several modules . Nº de ref. del artículo: 873623220
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Machine Learning Contests: A Guidebook
Publicado por
Springer Nature Singapore, 2023
ISBN 10: 9819937221
ISBN 13: 9789819937226
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc.The authors, also knew as 'competition professionals', will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors. Nº de ref. del artículo: 9789819937226
Cantidad disponible: 1 disponibles