Overview
- Brings together years of practical experience in competition circles by the contest winners
- Systematically introduces the algorithm competition with combination of basic theory and competition skills
- Provides the readers with several modules for practical explanation and the essence of the competition
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About this book
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.Keywords
Table of contents (16 chapters)
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Front Matter
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Half the Work, Twice the Effect
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Front Matter
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Birds of a Feather Flock Together
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Front Matter
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Learn from History to Create a Bright Future
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Front Matter
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Precise Delivery, Optimized Experience
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Front Matter
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Listen to What You Say and Understand What You Write
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Front Matter
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Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Machine Learning Contests: A Guidebook
Authors: Wang He, Peng Liu, Qian Qian
DOI: https://doi.org/10.1007/978-981-99-3723-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Posts & Telecom Press 2023
Softcover ISBN: 978-981-99-3722-6Published: 12 October 2023
eBook ISBN: 978-981-99-3723-3Published: 11 October 2023
Edition Number: 1
Number of Pages: XIX, 393
Number of Illustrations: 1 b/w illustrations
Topics: Machine Learning, User Interfaces and Human Computer Interaction, Algorithms