Bayesian Optimization: Theory and Practice Using Python
A

Bayesian Optimization: Theory and Practice Using Python

Математика
Bayesian optimization Python machine learning hyperparameter tuning Gaussian processes Scikit-learn GPyTorch
Автор
Peng Liu
Издательство
Apress
Год
2023
Язык
Английский
44
Оцените книгу

Чтобы читать книгу, войдите / зарегистрируйтесь

Ознакомительный фрагмент

Похожие книги

Machine Learning with Python: Theory and Applications

Machine Learning with Python: Theory and Applications

G. R. Liu

Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools

Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools

Serge Kruk

Bayesian Optimization in Action

Bayesian Optimization in Action

Quan Nguyen

Learning Penetration Testing with Python

Learning Penetration Testing with Python

Автор не указан в предоставленном тексте

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Taweh Beysolow II

PYTHON – Master Python OOP Programming with One Guide Only! A lot of Coding, Practice, and Theory. Learn Python with Hands-On Projects

PYTHON – Master Python OOP Programming with One Guide Only! A lot of Coding, Practice, and Theory. Learn Python with Hands-On Projects

Rick Sekulsoki

Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch

Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch

Dr. Deepali R Vora, Dr. Gresha S Bhatia

Introduction to Python Network Automation Volume II: Stepping up: Beyond the Essentials for Success, Second Edition

Introduction to Python Network Automation Volume II: Stepping up: Beyond the Essentials for Success, Second Edition

Brendan Choi

Introduction to Python and Large Language Models: A Guide to Language Models

Introduction to Python and Large Language Models: A Guide to Language Models

Dilyan Grigorov