Machine Learning with LightGBM and Python

Dive into the world of machine learning with Andrich van Wyk's comprehensive guide, Machine Learning with LightGBM and Python. This book will teach you how to master the LightGBM library and implement production-ready machine learning solutions by enhancing your Python programming skills and applying them to real-world problems.

What this Book will help me do

• Understand the fundamentals of machine learning, and learn to utilize Python libraries such as scikit-learn for modeling.
• Become proficient in using the LightGBM library for classification and regression tasks through hands-on examples.
• Learn to enhance machine learning models using techniques like AutoML, distributed training and scalable serving.
• Build machine learning pipelines and deploy models with APIs for production readiness.
• Gain experience with machine learning platforms such as AWS Sagemaker, PostgresML, and Dask for scalable system solutions.

Author(s)

Andrich van Wyk is a seasoned machine learning engineer and Python developer with years of experience in building and deploying scalable machine learning solutions. He is passionate about teaching and breaking down complex concepts into practical, clear guidance for learners. His expertise with LightGBM and cutting-edge ML platforms like SageMaker makes this book an invaluable resource for anyone looking to deepen their understanding of machine learning.

Who is it for?

This book is ideal for software engineers aiming to advance their skills toward a career as machine learning engineers, as well as data scientists wanting to master LightGBM. A foundational understanding of Python programming is necessary to fully engage with the material. For ML practitioners already familiar with core principles, this book provides up-to-date insights into modern tools and production practices.