Wyk Machine Learning with LightGBM and Python

A practitioner's guide to developing production-ready machine learning systems
1. Auflage 2023
ISBN: 978-1-80056-305-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 252 Seiten

No detailed description available for "Machine Learning with LightGBM and Python".

Autoren/Hrsg.

Wyk, Andrich van

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

Table of Contents - An Introduction Machine Learning and Decision Trees
- Decision Tree Ensembles: Bagging and Boosting
- An Overview of LightGBM in Python
- LightGBM, XGBoost and Deep Learning
- LightGBM Parameter Optimization and Tuning with Optuna
- Solving Real World Problems with LightGBM
- LightGBM AutoML with FLAML
- Machine Learning Pipelines with LightGBM
- Deploying LightGBM to AWS SageMaker
- Deploying LightGBM with PostgresML
- Distributed Training and Serving of LightGBM using Dask

Über Autor(innen)

Wyk Andrich van:

Andrich van Wyk has 15 years of experience in machine learning R&D and building AI-driven solutions. He also has broad experience as a software engineer and architect with over a decade of industry experience working on enterprise systems. He graduated cum laude with an M.Sc. in Computer Science from the University of Pretoria. His work focused on neural networks and population-based algorithms such as Particle Swarm Optimization and Honey-Bee Foraging. Andrich also writes about software and machine learning on his blog and his Substack. He currently resides in South Africa with his wife and daughter.