Demystifying Machine Learning: A Practical Guide for Beginners

Are you one of the countless people who have interacted with ChatGPT since its launch in late 2022? If so, you've likely been impressed with its capabilities and maybe even wondered, "How does it work?" Well, to understand this, you will have to know about the building blocks of such an advanced technological milestone: Machine Learning. If you're eager to delve into the inner workings of this cutting-edge technology, then look no further because this book is for you!

Why should one read this book?

Who stands to gain from delving into this book, you might wonder? Whether you're a student eager to explore the realm of Machine Learning or a seasoned professional planning for a career transition, this book has something special in store for you. It is a comprehensive guide to Machine Learning essentials designed for everyone, regardless of prior knowledge.

Book cover of Machine Learning Essentials You Always Wanted To Know - a beginner’s guide to learning and mastering Python.

About the Book

The book begins with the very basics of machine learning. So, even people who have never even heard about things like Python can take advantage of it to gain the knowledge behind how the modern machine learning applications work. All you need is some basic calculus to get started on this informative journey. All you need is curiosity and willingness to explore new things with some basic calculus knowledge.

Here are some key features that will be covered in the book:

• Starting from the Ground Up: The first step to learning anything is getting some information about what that thing is. We start things off with a beginner-friendly introduction to Machine Learning, ensuring everyone's on the same page before diving deeper.
• Unlocking Core Concepts: There are a lot of tools available today which make it so easy to use advanced Machine Learning models. However, if you start using those directly, you won’t understand the crux of the concept. So, the book will break down advanced concepts into bite-sized, easily digestible pieces.
  
• Hands-On Learning: Theory is one thing, but true understanding comes from getting your hands dirty. Get ready for a series of engaging exercises that will challenge you to build and create using the theoretical knowledge you learnt.
  

But wait, there's more! Here's a roadmap of what lies ahead:

We will start with the basics, laying a strong foundation of understanding before moving on to exploring Linear Models and accompanying exercises. Then, we will cover some advanced models like Support Vector Machines and Decision Trees. Dive into the world of ensemble models, exploring Bagging, Boosting, and even getting hands-on with top-performing models like LightGBM. And just when you thought that it would be the end, we'll move into the realm of Deep Learning and Neural Networks, finishing with a gentle introduction to Large Language models— which I consider one of the most innovative technical advancements of the 21st century.

But remember, this is just the tip of the iceberg. This book isn't just a source of knowledge; it's a gateway to a world of possibilities. So, get ready for an adventure that will not only help you learn the theory but will also train you on how you can use Machine Learning in real-world scenarios.

Dhairya Parikh, author of Machine Learning Essentials You Always Wanted To Know by Vibrant Publishers 

This blog is written by Dhairya Parikh, author of Machine Learning Essentials You Always Wanted To Know.

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