Machine Learning: This Book Includes: Machine Learning for Beginners, Machine Learning with Python

Book Description

Do 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 skill? Do you want to get started with learning data science?

This bundle 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 bundle is going to help you understand the different approaches 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 bundle will teach you Python programming. This bundle 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 bundle is a go-to guide for getting started in machine learning modeling using Python programming. Once you get through the bundle, you will be able to develop your own machine learning models using Python.

Through this bundle, 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 develop and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries
• When to use each type of machine learning
• The general concept of artificial neural networks
• Activation function in artificial neural network and to choose an activation function within an artificial neural network
• The 5 main types of artificial neural network
• The best function to be used to train artificial neural networks.
• the 2 main concepts to know in the training process of the artificial neural network
• the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general.

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.

中文：

书名：Machine Learning: This Book Includes: Machine Learning for Beginners, Machine Learning with Python

想要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？

这个捆绑包将指导您了解机器学习背后的基本知识和原则。机器学习是一个活跃的研究领域，包括几种不同的方法。本教程将帮助您了解机器学习和神经网络的不同方法。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。本捆绑包将教您如何进行Python编程。该捆绑包不需要任何预编程技能。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，本捆绑包是开始使用Python编程进行机器学习建模的首选指南。Once you get through the bundle, you will be able to develop your own machine learning models using Python.

通过此捆绑包，您将了解：

• 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
• Advantages of each type of machine learning
• 神经网络的原理和类型
• Steps to develop and fit artificial neural network model
• 快速入门和安装Python
• 用于Python编程的工具和平台
• How to use pandas, NumPy and matplotlib Python libraries
• 如何开发一种简单的线性逻辑机器学习模型
• 如何开发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
• 何时使用每种类型的机器学习
• The general concept of artificial neural networks
• 人工神经网络中的激活函数以及选择人工神经网络中的激活函数
• The 5 main types of artificial neural network
• The best function to be used to train artificial neural networks.
• 人工神经网络训练过程中需要了解的两个主要概念
• 主要介绍了人工神经网络和机器学习模型的形成的主要变种和算法。

E即使你在机器学习和Python编程方面没有任何背景，这本书也会为你提供开发机器学习模型的工具。