Machine Learning with Python: The Absolute Guide for Beginner’s and Faster Way To Learn python machine learning

Book Description

If you want to learn how to design and master different Machine Learning algorithms quickly with python and easily, then keep reading.

MACHINE LEARNING WITH PYTHON – Comprehensive Guide of Tips and Tricks of using Machine Learning Theories with Python

Machine Learning:

The Complete Beginner’s Guide to learn and Understand Machine Learning, gives you insights into what machine learning entails and how it can impact the way you can weaponize data to gain incredible insights. Your information is pretty much as good as what you are doing with it and the way you manage it. In this book, you find out types of machine learning techniques, models, and algorithms that can help achieve results for your company.

Python Programming :

You want to learn the language quickly to be productive when you use it to do your real work, which could be anything. Unlike most books on the subject, it starts from the beginning showing you t differences between Python and other languages. As a result, you get an understanding of what needs to be done from the beginning, using practical examples and spending a lot of time doing really useful tasks. You can also get help installing Python on your particular system.

it is essential to understand how each example works before moving on to the next one. Each example has lessons that are important to you, and you may lose important content if you start to miss too much information.

In this 2-in-1 book, you will find:

-Simplicity: It is written in a very concise and approachable way

-Coaching: All instructions are presented in a linear, step-by-step format

-Detail: Its scope is to comprehensively address both novices and expert

-Structure: Information is clearly organized into chapters and sections

-Two Books: A Python crash course and a Python data analysis course

-How we classify machine learning algorithms

-How we can apply machine learning in different areas

-Understanding the artificial neural networks

-The use of convoluted neural networks

-Building predictive models

-Autoencoders in ML and Python

-K-Means techniques and Natural Language Processing

-The art of feature engineering

-The ensemble methods

This book will change the way you look at Python and machine learning.

中文：

书名：使用Python的机器学习：初学者的绝对指南和学习Python机器学习的更快方法

如果您想学习如何快速轻松地设计和掌握不同的机器学习算法，请继续阅读。

使用Python进行机器学习&使用机器学习理论的技巧和技巧综合指南

机器学习：

完整的初学者学习和理解机器学习指南，让你深入了解机器学习需要什么，以及它如何影响你将数据武器化以获得令人难以置信的洞察力的方式。你的信息与你用它做什么和你管理它的方式几乎一样好。在这本书中，您可以找到各种类型的机器学习技术、模型和算法，这些技术、模型和算法可以帮助您的公司实现目标。

Python编程：

你想要快速地学习这门语言，以便在你用它来做你的实际工作时变得更有效率，这可能是任何事情。与大多数有关该主题的书籍不同，它从一开始就向您展示了Python和其他语言之间的区别。因此，你从一开始就了解需要做什么，使用实际的例子，并花费大量时间做真正有用的任务。您还可以获得在您的特定系统上安装Python的帮助。

在继续下一个示例之前，了解每个示例的工作原理是至关重要的。每个例子都有对你很重要的教训，如果你开始错过太多信息，你可能会失去重要的内容。

In this 2-in-1 book, you will find:

-Simplicity: It is written in a very concise and approachable way

-指导：所有说明均以线性、循序渐进的形式呈现

-详细：其范围是全面解决新手和专家

-结构：信息清晰地组织成章节和章节

-两本书：一门Python速成课程和一门Python数据分析课程

-我们如何对机器学习算法进行分类

-我们如何将机器学习应用于不同领域

-了解人工神经网络

-卷积神经网络的使用

-建立预测模型

-ML和Python中的自动编码器

-K-Means技术和自然语言处理

–功能工程的艺术

–合奏方法

这本书将改变你看待Python和机器学习的方式。