Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques

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Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
 

  • Author:Bob Mather
  • Length: 125 pages
  • Edition: 1
  • Publisher: Independently published
  • Publication Date: 2018-08-10
  • ISBN-10: 1718095031
  • ISBN-13: 9781718095038
  • Sales Rank: #134546 (See Top 100 Books)
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  • Buy Print:Buy from amazon


    Book Description

    Are you excited about Artificial Intelligence and want to get started?Are you excited about Machine Learning and want to learn how to implement in Python?
    The book below is the answer.

    Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc. analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine Learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great programming language for beginners.

    Python is a great language that is commonly used with Machine Learning. Python is used extensively in Mathematics, Gaming and Graphic Design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.

    Table of Contents

    • What is Machine Learning?
    • Why use Python?
    • Regression Analysis using Python with an example
    • Clustering Analysis using Python with an example
    • Implementing an Artificial Neural Network
    • Backpropagation
    • 90 Day Plan to Learn and Implement Machine Learning
    • Conclusion

    中文:

    书名:Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques

    你对人工智能感到兴奋并想开始吗?你对机器学习感到兴奋并想学习如何在Python中实现吗?
    下面这本书就是答案。

    鉴于我们每天使用的海量数据,无论是在网络、超市、社交媒体等,数据分析已经成为我们日常生活中不可或缺的一部分。有效地做到这一点的能力可以将你的事业或业务推向更高的高度。机器学习是最有效的数据分析工具。虽然这是一个复杂的主题,但它可以分解为更简单的步骤,如本书所示。我们使用的是Python,这是一种非常适合初学者的编程语言。

    Python是一种很棒的语言,通常与机器学习一起使用。Python在数学、游戏和平面设计中被广泛使用。它的开发和原型开发速度很快。它支持Web,这意味着我们可以使用Python来收集Web数据。它具有很强的适应性,并且拥有庞大的用户社区。

    目录表

    • 什么是机器学习?
    • 为什么要使用Python?
    • 用PYTHON进行回归分析并举例
    • 用PYTHON进行聚类分析的实例
    • 一种人工神经网络的实现
    • 反向传播
    • 学习和实施机器学习的90天计划
    • 结论
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