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Machine Learning with LightGBM and Python

You're reading from   Machine Learning with LightGBM and Python A practitioner's guide to developing production-ready machine learning systems

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781800564749
Length 252 pages
Edition 1st Edition
Languages
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Author (1):
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Andrich van Wyk Andrich van Wyk
Author Profile Icon Andrich van Wyk
Andrich van Wyk
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Gradient Boosting and LightGBM Fundamentals
2. Chapter 1: Introducing Machine Learning FREE CHAPTER 3. Chapter 2: Ensemble Learning – Bagging and Boosting 4. Chapter 3: An Overview of LightGBM in Python 5. Chapter 4: Comparing LightGBM, XGBoost, and Deep Learning 6. Part 2: Practical Machine Learning with LightGBM
7. Chapter 5: LightGBM Parameter Optimization with Optuna 8. Chapter 6: Solving Real-World Data Science Problems with LightGBM 9. Chapter 7: AutoML with LightGBM and FLAML 10. Part 3: Production-ready Machine Learning with LightGBM
11. Chapter 8: Machine Learning Pipelines and MLOps with LightGBM 12. Chapter 9: LightGBM MLOps with AWS SageMaker 13. Chapter 10: LightGBM Models with PostgresML 14. Chapter 11: Distributed and GPU-Based Learning with LightGBM 15. Index 16. Other Books You May Enjoy

Introducing Machine Learning

Our journey starts with an introduction to machine learning and the fundamental concepts we’ll use throughout this book.

We’ll start by providing an overview of machine learning from a software engineering perspective. Then, we’ll introduce the core concepts that are used in the field of machine learning and data science: models, datasets, learning paradigms, and other details. This introduction will include a practical example that clearly illustrates the machine learning terms discussed.

We will also introduce decision trees, a crucially important machine learning algorithm that is our first step to understanding LightGBM.

After completing this chapter, you will have established a solid foundation in machine learning and the practical application of machine learning techniques.

The following main topics will be covered in this chapter:

  • What is machine learning?
  • Introducing models, datasets, and supervised learning
  • Decision tree learning
You have been reading a chapter from
Machine Learning with LightGBM and Python
Published in: Sep 2023
Publisher: Packt
ISBN-13: 9781800564749
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