About this ebook
This book is ideal for students, data scientists, machine learning engineers, and analysts who want to master LightGBM with practical application in corporate environments. You will learn how to prepare data, optimize hyperparameters, and integrate models with leading market tools such as AWS, Azure, Google Cloud, MLflow, Optuna, and Docker. Explore concepts like boosting, leaf-wise tree growth, GPU acceleration, automated tuning, and cross-platform deployment.
Includes:
• Installation and configuration of LightGBM on Windows, Linux, and cloud environments
• Dataset preparation using Pandas, NumPy, and integration with Spark
• Advanced hyperparameter optimization with Optuna and Hyperopt
• Experiment tracking and monitoring with MLflow
• Production deployment using Flask, FastAPI, Docker, and CI/CD pipelines on AWS and Azure
By the end, you will be equipped to build high-performance machine learning models ready to run in enterprise and global cloud solutions.
lightgbm, aws, azure, google cloud, mlflow, optuna, docker, ci/cd pipelines, gpu acceleration, machine learning in production
Discover more
About the author
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
E-mail: studiod21portoalegre@gmail.com
LinkedIn: www.linkedin.com/in/
International technical author (tech writer) focused on structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he works in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical authors of the new generation, with over 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.2 applied technical writing protocol, aimed at scalability, conceptual precision, and practical applicability in professional environments.
