Owen Hyperparameter Tuning with Python

Boost your machine learning model's performance via hyperparameter tuning
1. Auflage 2024
ISBN: 978-1-80324-194-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 306 Seiten

No detailed description available for "Hyperparameter Tuning with Python".

Autoren/Hrsg.

Owen, Louis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Evaluating Machine Learning Models
- Introducing Hyperparameter Tuning
- Exploring Exhaustive Search
- Exploring Bayesian Optimization
- Exploring Heuristic Search
- Exploring Multi-Fidelity Optimization
- Hyperparameter Tuning via Scikit
- Hyperparameter Tuning via Hyperopt
- Hyperparameter Tuning via Optuna
- Advanced Hyperparameter Tuning with DEAP and Microsoft NNI
- Understanding Hyperparameters of Popular Algorithms
- Introducing Hyperparameter Tuning Decision Map
- Tracking Hyperparameter Tuning Experiments
- Conclusions and Next Steps

Über Autor(innen)

Owen Louis :

Louis Owen is a data scientist/AI engineer from Indonesia who is always hungry for new knowledge. Throughout his career journey, he has worked in various fields of industry, including NGOs, e-commerce, conversational AI, OTA, Smart City, and FinTech. Outside of work, he loves to spend his time helping data science enthusiasts to become data scientists, either through his articles or through mentoring sessions. He also loves to spend his spare time doing his hobbies: watching movies and conducting side projects. Finally, Louis loves to meet new friends! So, please feel free to reach out to him on LinkedIn if you have any topics to be discussed.