Machine Learning with Python: An introduction to Data Science with useful concepts and examples, step by step, learning to use Python (2 BOOKS IN 1,

Gray, William

  • 出版商: Independently Published
  • 出版日期: 2019-07-26
  • 售價: $950
  • 貴賓價: 9.5$903
  • 語言: 英文
  • 頁數: 392
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1080945032
  • ISBN-13: 9781080945030
  • 相關分類: PythonMachine Learning 機器學習 資料科學

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商品描述

Do you Know exactly M.L why is it so valuable in data business ?
Are you thinking of learning but are you afraid it's not enough ?
This book teaches you, thanks to Python, the ways to do it



★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★



Machine Learning is a branch of AI that applied algorithms to learn from data and create predictions - this is important in predicting the world around us.

Today, ML algorithms accomplish tasks that until recently only expert humans could perform and, as machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities.

Programmers who know close to nothing about this technology, now, can use simple, efficient tools to implement programs capable of learning from data.

Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields.


Inside "Machine Learning with Python" you'll learn:

  • Fundamental concepts and applications of machine learning
  • Understand the various categories of machine learning algorithms.
  • Some of the branches of Artificial Intelligence
  • The basics of Python
  • Concepts of Machine Learning using Python
  • Python Machine Learning Applications
  • Machine Learning Case Studies with Python
  • The way that Python evolved throughout time
  • And many more


  • Understand the key frameworks in ML
  • Latest Python open source libraries in ML
  • ML techniques using real-world data
  • The ML Classifiers Using Scikit-Learn
  • Implementing a Multilayer Artificial Neural Network from Scratch
  • The Mechanics of TensorFlow
  • ML Model into a Web Application
  • The future of ML



You are required to have installed the following on your computer:

  • Python 3.X
  • Numpy
  • Pandas
  • Matplotlib



Throughout the recent years, artificial intelligence and machine learning have made some enormous, significant strides in terms of universal, global applicability. You'll discover the steps required to develop a successful machine-learning application using Python.

This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques.

Using the latest Python open source libraries, this book offers the practical knowledge you need to create and contribute to machine learning and modern data analysis.

Machine Learning with Python is a step-by-step guide for any person who wants to start learning Artificial Intelligence - It will help you in preparing a solid foundation and learn any other high-level courses.


Stay ahead and make a choice that will last...


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★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★