Banachewicz / Massaron The Kaggle Book

Data analysis and machine learning for competitive data science
1. Auflage 2022
ISBN: 978-1-80181-221-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 534 Seiten

No detailed description available for "The Kaggle Book".

Autoren/Hrsg.

Banachewicz, Konrad

Massaron, Luca

Weitere Mitwirkende

Goldbloom, Anthony

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

Table of Contents - Introducing Kaggle and Other Data Science Competitions
- Organizing Data with Datasets
- Working and Learning with Kaggle Notebooks
- Leveraging Discussion Forums
- Competition Tasks and Metrics
- Designing Good Validation
- Modeling for Tabular Competitions
- Hyperparameter Optimization
- Ensembling with Blending and Stacking Solutions
- Modeling for Computer Vision
- Modeling for NLP
- Simulation and Optimization Competitions
- Creating Your Portfolio of Projects and Ideas
- Finding New Professional Opportunities

Über Autor(innen)

Banachewicz Konrad:
Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.Massaron Luca:
Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is a Google Developer Expert(GDE) in machine learning and the author of best-selling books on AI, machine learning, and algorithms.