Banachewicz / Massaron The Kaggle Workbook

Self-learning exercises and valuable insights for Kaggle data science competitions
1. Auflage 2023
ISBN: 978-1-80461-011-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 172 Seiten

No detailed description available for "The Kaggle Workbook".

Autoren/Hrsg.

Banachewicz, Konrad

Massaron, Luca

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Optische Nachrichtentechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Table of Contents - The Most Renowned Tabular Competition – Porto Seguro's Safe Driver Prediction
- The Makridakis Competitions – M5 on Kaggle for Accuracy and Uncertainty
- Vision Competition: Cassava Leaf Disease Competition
- NLP Competition – Google Quest Q&A Labeling

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.