Machine Learning Contests: A Guidebook (Paperback)
Language: English
Published by Springer Verlag, Singapore, Singapore, 2023
- First Edition
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 51.29
Quantity: 1 available
Add to basketItem description from seller
Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9789819937226
- Title
- Machine Learning Contests: A Guidebook (Paperback)
- Author
- Wang He
- Publisher
- Springer Verlag, Singapore, Singapore
- Publication year
- 2023
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 9819937221
- ISBN 13
- 9789819937226
- Edition
- 1st Edition
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."Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Grand Eagle Retail
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AbeBooks seller since October 12, 2005
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