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portada Machine Learning Contests: A Guidebook
Type
Physical Book
Publisher
Author
Language
English
Pages
393
Format
Paperback
ISBN13
9789819937226
Edition No.
1

Machine Learning Contests: A Guidebook

Wang He; Peng Liu; Qian Qian (Author) · Springer · Paperback

Machine Learning Contests: A Guidebook - Wang He; Peng Liu; Qian Qian

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Synopsis "Machine Learning Contests: A Guidebook"

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.

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