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 mai...

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Detalles Bibliográficos
Main Authors:	He, Wang (Author), Liu, Peng (Author), Qian, Qian (Author)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	inglés
Publicado:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edición:	1st ed. 2023.
Subjects:	Machine learning. User interfaces (Computer systems). Human-computer interaction. Algorithms. Machine Learning. User Interfaces and Human Computer Interaction.
Acceso en liña:	https://doi.org/10.1007/978-981-99-3723-3
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Table of Contents:

Chapter 1 First Sight
Chapter 2 Problem Modeling
Chapter 3 Data Exploration
Chapter 4 Characteristic Engineering
Chapter 5 Model Training
Chapter 6 Model Fusion
Chapter 7 User Portrait
Chapter 8 Actual Combat Case: Elo Merchant
Chapter 9 time sequence
Chapter 10 Practical Cases: Global Urban
Chapter 11 Practical Case: Corporaci .-Corporación Favorita Grocery Sales Forecasting
Chapter 12 Computing Advertising
Chapter 13 Practical Cases: Tencent 2018 Advertising Algorithm Contest-Similarity Crowd Expansion
Chapter 14: TalkingData AdTracking Fraud Detection Challenge
Chapter 15 Natural Language Processing
Chapter 16 Practical Case: Quora Question Pairs.

Machine Learning Contests: A Guidebook

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