Python Machine Learning: Learn Python in a Week and Master It, 7 Days Crash Course, Book 2

Book Description

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it?

Here’s the deal… As a beginner you might think that programming is complex… Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. So, if you have a project to develop you could think on hiring a professional developer to shorten the time. This may seem like a good solution but it is certainly very expensive and if the developer you chose doesn’t perform a proper job you still have to pay for it.

The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average.

Inside this book, you will go through a first section in which fundamental and basic notions of deep learning are discussed, to get to the next chapters crafted specifically to help you learn advanced coding concepts required to develop training data sets for the production of successful machine learning models.

In the detail, you will learn:

• Why Python is considered the fundamental tool for machine learning
• Deep understanding of the significance of machine learning in our daily lives and why you cannot ignored its importance in 2020
• 12 machine learning models that you must study as a beginner
• The most common mistakes to avoid when you start building machine learning models with Python
• Step-by-step instructions to install required packages to set up a machine learning coding environment
• The algorithms that will make your life easier while coding artificial intelligence
• A proven strategy to process raw data to generate high quality training data sets
• A simple method to build the desired machine learning model in less than 7 days
• The 2 main libraries you need implementing to develop a neural network
• Exercises and quizzes at the end of every chapter to review immediately what you’ve learned
• Extra content that you will appreciate as curious technology enthusiast

Why is this book different? Most of the books on the market only take a brief look into machine learning, showing some of the topics but never going deep concretely. The best way to learn machine learning with Python is by doing and with this manual you will work through applicable projects in order to solidify your knowledge and obtain a huge sense of achievement.

This is what this guide offers to you, even if you’re completely new to programming in 2020 or you are just looking to widen your skills as programmer.

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中文：

书名：Python Machine Learning: Learn Python in a Week and Master It, 7 Days Crash Course, Book 2

Would you like to learn how to use Python to generate 机器学习 models but you think it would be too difficult? Or perhaps you want to 让简单的事情自动化用你的电脑，但你不知道怎么做？

Here’s the deal…作为初学者，你可能认为编程很复杂，学习人工智能编程可能需要几个月的时间，在掌握它之前放弃的可能性可能很高。因此，如果你有一个项目要开发，你可以考虑雇佣一个专业的开发人员来缩短时间。这可能看起来是一个很好的解决方案，但它肯定是非常昂贵的，如果你选择的开发人员没有完成适当的工作，你仍然必须为此买单。

最好的解决方案是遵循一本完整的编程手册，其中包括动手项目和实践练习。 Computer Programming Academy我将这本指南组织成一门七章七天的课程，并为每一节学习了专门的练习，以便逐步应用所学知识。该协议在所有初学者和已经熟悉编程的人身上进行了测试，利用了潜水的原则，在一周内集中学习。这种方法的结果对两类学生来说都是一样的：课程内容学得更快，记住的时间也更长，尊重平均水平。

在这本书里，您将经历第一部分，其中讨论了深度学习的基本和基本概念，以进入专门为帮助您学习高级编码概念而编写的下一章，这些概念需要开发用于生成成功的机器学习模型的训练数据集。

在细节上，我们you will learn:

• 为什么Python被认为是机器学习的基本工具
• 深刻理解机器学习在我们日常生活中的重要性，以及为什么你在2020年不能忽视它的重要性
• 初学者必须学习的12种机器学习模型
• The most common mistakes to avoid when you start building 机器学习 models with Python
• 安装设置机器学习编码环境所需的包的分步说明
• The algorithms that will make your life easier while coding artificial intelligence
• A proven strategy to process raw data to generate high quality training data sets
• A simple method to build the desired 机器学习 model in less than 7 days
• 开发神经网络需要实现的两个主要库
• 每章末尾都有练习和测验，以便立即复习你所学到的内容
• 作为好奇的技术爱好者，您会欣赏的额外内容

这本书为什么不同？市场上的大多数书籍只对机器学习作了简要的介绍，展示了一些主题，但从来没有具体深入。使用Python学习机器学习的最好方法是通过实践，使用本手册，您将完成适用的项目，以巩固您的知识并获得巨大的成就感。

This is what this guide offers to you，即使你对2020年的编程完全陌生，或者你只是想扩大你作为程序员的技能。

Would You Like To Know More?
向上滚动到页面顶部，然后选择立即购买按钮。成为一名Python大师的关键是一键之遥！