> For the complete documentation index, see [llms.txt](https://enibly.gitbook.io/machine-learning/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://enibly.gitbook.io/machine-learning/preface.md).

# Preface

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This online book is supported by <mark style="color:blue;">**Enibly Technology**</mark> ([http://enibly.com](http://enibly.com/)). Enibly Technology is dedicated to providing cutting-edge technology solutions and services to help businesses and individuals succeed in today's digital world
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Welcome to "<mark style="color:blue;">**Complete Guide to Machine Learning: Understanding the Basics with Analogies and Examples**</mark>". This book is the first release, version 1, and published in January 2023.

The purpose of this book is <mark style="color:orange;">to provide a comprehensive introduction to the field of Machine Learning for all levels of readers</mark>. The book is designed to be <mark style="color:purple;">easy to understand and uses analogies and examples</mark> to explain the concepts. The author's goal is to provide a solid foundation in the basics of Machine Learning, so that readers can continue to explore and learn more about the field.

The book covers the main categories of Machine Learning, including <mark style="color:blue;">supervised</mark>, <mark style="color:orange;">unsupervised</mark>, and <mark style="color:red;">reinforcement learning</mark>. It also includes chapters on <mark style="color:green;">deep learning</mark>, <mark style="color:purple;">evaluation</mark>, and <mark style="color:red;">deployment</mark>, as well as case studies and applications. The book provides hands-on examples and exercises to help readers practice and apply the concepts they learn.

This book is generated with the help of ChatGPT, a machine learning model developed by OpenAI

We are passionate about making Machine Learning accessible to everyone and is dedicated to providing a comprehensive and easy-to-understand introduction to the field.

Best Regards

*Aries Harry Pratama*

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This online book is <mark style="color:purple;">**free**</mark> and comes with all the resources and support to help you **learn and practice** the concepts covered in the book. We hopes that this book will serve as a valuable resource for anyone interested in learning about Machine Learning and that it will inspire you to continue exploring the field.
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