Machine Learning Contests: A Guidebook 9789819937233, 9789819937226

Firstly, it takes common competition scenarios as a guide by giving the main processes of using Machine Learning to solv

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Machine Learning Contests: A Guidebook 9789819937233, 9789819937226

Table of contents :
Cover
Front Matter
Part I. Half the Work, Twice the Effect
1. Guide to the Competitions
2. Problem Modeling
3. Data Exploration
4. Feature Engineering
5. Model Training
6. Model Integration
Part II. Birds of a Feather Flock Together
7. User Profiles
8. Case Study: Elo Merchant Category Recommendation
Part III. Learn from History to Create a Bright Future
9. Time Series
10. Case Study: Global Urban Computing AI Challenge
11. Case Study: Corporación Favorita Grocery Sales Forecasting
Part IV. Precise Delivery, Optimized Experience
12. Computational Advertising
13. Case Study: 2018 Tencent Advertising Algorithm Competition—Audience Lookalike Expansion
14. Case Study: TalkingData AdTracking Fraud Detection Challenge
Part V. Listen to What You Say and Understand What You Write
15. Natural Language Processing
16. Case Study: Quora Question Pairs

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