 Название: Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow
Автор: Lena Neill
Издательство: Independently published
Год: 2024
Страниц: 108
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
Do you find yourself unsure of how to apply your existing knowledge to Python?
If you are a beginner programmer who wants to learn Python Machine Learning, this book is for you.
This book will help you understand how to use Python to apply your existing skills to Machine Learning problems.
Machine Learning is a fascinating and powerful field that uses machines to learn from data and perform tasks that humans cannot do easily.
In this book, you will learn about:
The basics and history of Machine Learning
The different types of Machine Learning methods
How to use support vector machines to classify data
How to build neural networks to model complex patterns
How the Internet of Things (IoT) connects machines and devices
What the future of Machine Learning looks like
And much more…
This book is designed for beginners, with simple and clear explanations and step-by-step examples. It will help you get started with Python Machine Learning and discover its amazing potential.
Contents:
Introduction
Chapter 1: Python
Chapter 2: Start learning Python
Chapter 3: Working with data
Chapter 4: Working with data visualization
Chapter 5: Predictive analytics
Chapter 6: Working with algorithms
Chapter 7: Machine Learning algorithms
Chapter 8: Regression trees and cart
Chapter 9: Random forests
Chapter 10: Overview of neural networks, Big Data, the Internet of Things (IoT), and cloud computing
Conclusion
References
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