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The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition
Luca Massaron, Bojan Tunguz, Konrad Banachewicz, Anthony Goldbloom
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Kaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities.
The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.
The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.
Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.
Join our Discord community of over 1,000 members to learn, share, and grow together!
The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.
The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.
Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.
Join our Discord community of over 1,000 members to learn, share, and grow together!
- 1. Introducing Kaggle and Other Data Science Competitions
- 2. Organizing Data with Datasets
- 3. Working and Learning with Kaggle Notebooks
- 4. Kaggle Models
- 5. Leveraging Discussion Forums
- 6. Competition Tasks and Metrics
- 7. Designing Good Validation
- 8. Modeling for Tabular Competitions
- 9. Hyperparameter Optimization
- 10. Ensembling with Blending and Stacking Solutions
- 11. Modeling for Computer Vision
- 12. Modeling for NLP
- 13. Generative AI in Kaggle Competitions
- 14. Simulation and Optimization Competitions
- 15. Creating Your Portfolio of Projects and Ideas
- 16. Finding New Professional Opportunities
- Назва:The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition
- Автор:Luca Massaron, Bojan Tunguz, Konrad Banachewicz, Anthony Goldbloom
- Оригінальна назва:The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition
- ISBN:9781835088630, 9781835088630
- Дата видання:2025-12-19
- Формат:Eлектронна книга
- Ідентифікатор видання: e_4hzq
- Видавець: Packt Publishing
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