Machine Learning with Python

Book Description

Do you want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model, and you have no programming skills? Do you want to get started with learning data science?

This book is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This book is going to help you understand the various methods of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model.

Machine learning implies programming. This book will teach you Python programming. This book does not require any pre-programming skills. It will help to get you started in Python programming, as well as how to use Python libraries to analyze data and apply machine learning.

Overall, this book is a go-to guide for getting started in machine learning modeling using Python programming. Once you get through the book, you will be able to develop your machine learning models using Python.

Through this book, you will learn:

• Principles of machine learning
• Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
• Advantages of each type of machine learning
• Principle and types of neural networks
• Steps to develop and fit artificial neural network model
• Getting started and installing Python
• Tools and platforms for Python programming
• How to use pandas, NumPy and matplotlib Python libraries
• How to develop a simple linear and logistic machine learning model
• How to build and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries

Even if you don’t have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.

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中文：

书名：Machine Learning with Python

您想了解机器学习和神经网络是如何快速而简单地工作的吗？你想知道如何构建一个没有编程技能的机器学习模型吗？您想开始学习数据科学吗？

这本书将引导你了解机器学习背后的基础和原理。机器学习是一个活跃的研究领域，包括几种不同的方法。这本书将帮助你理解机器学习和神经网络的各种方法。它将指导您完成构建机器学习模型所需的步骤。

机器学习意味着编程。这本书将教你如何进行Python编程。这本书不需要任何编程前技能。它将帮助您开始使用Python编程，以及如何使用Python库来分析数据和应用机器学习。

总体而言，本书是使用Python编程的机器学习建模入门的首选指南。一旦您读完这本书，您将能够使用Python开发您的机器学习模型。

通过这本书，您将了解到：

• Principles of machine learning
• 机器学习的类型：有监督、无监督、半监督和强化学习
• 每种机器学习方法的优点
• 神经网络的原理和类型
• 开发和拟合人工神经网络模型的步骤
• 快速入门和安装Python
• 用于Python编程的工具和平台
• 如何使用Pandas、NumPy和matplotlib Python库
• 如何开发一种简单的线性逻辑机器学习模型
• 如何构建和训练多层人工神经网络有两种方式：从头开始和使用Python库

即使你在机器学习和Python编程方面没有任何背景，这本书也会给你开发机器学习模型的工具。

Would you like to know more?

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