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,
暫譯: 使用 Python 的機器學習:數據科學入門,包含實用概念與範例,逐步學習使用 Python(2 本合1)

Gray, William

  • 出版商: Independently Published
  • 出版日期: 2019-07-26
  • 售價: $1,180
  • 貴賓價: 9.5$1,121
  • 語言: 英文
  • 頁數: 392
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1080945032
  • ISBN-13: 9781080945030
  • 相關分類: Python程式語言Machine LearningData Science
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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...


If You like to know more, scroll to the top and select " BUY NOW " buttom


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


商品描述(中文翻譯)

你知道為什麼機器學習(M.L)在數據業務中如此有價值嗎?
你是否考慮學習,但又擔心自己不夠好?
這本書將教你如何利用 Python 來實現這些目標。



★★★ 購買平裝本即可免費獲得 Kindle 版本 ★★★



機器學習人工智慧(AI)的一個分支,應用算法從數據中學習並進行預測——這在預測我們周圍的世界中非常重要。

如今,機器學習(ML)算法能夠完成直到最近只有專家才能執行的任務,隨著機器變得越來越複雜,執行越來越多的任務以釋放我們的時間,新的想法也不斷被開發出來,以幫助我們持續提高它們的速度和能力。

幾乎對這項技術一無所知的程式設計師,現在可以使用簡單而高效的工具來實現能夠從數據中學習的程序。

Python是一種流行的開源程式語言。此外,它是人工智慧和其他科學領域中應用最廣泛的語言之一。


在《使用 Python 的機器學習》中,你將學到:


  • 機器學習的基本概念和應用


  • 理解各種機器學習算法的類別。


  • 人工智慧的一些分支

  • Python 的基礎知識

  • 使用 Python 的機器學習概念

  • Python 機器學習應用

  • 使用 Python 的機器學習案例研究

  • Python 隨著時間的演變

  • 以及更多




  • 理解機器學習中的關鍵框架


  • 最新的 Python 開源庫在機器學習中的應用

  • 使用真實世界數據的機器學習技術

  • 使用 Scikit-Learn 的機器學習分類器

  • 從零開始實現多層人工神經網絡

  • TensorFlow 的機制

  • 將機器學習模型轉換為網頁應用

  • 機器學習的未來




你需要在電腦上安裝以下內容:


  • Python 3.X


  • Numpy

  • Pandas


  • Matplotlib




在最近幾年,人工智慧和機器學習在全球應用方面取得了巨大的進展。你將發現使用 Python 開發成功的機器學習應用所需的步驟。

這本書為初學者和已經使用某些機器學習技術的專業人士提供了大量的見解。

使用最新的 Python 開源庫,這本書提供了你創建和貢獻於機器學習和現代數據分析所需的實用知識。

《使用 Python 的機器學習》是任何想要開始學習人工智慧的人的逐步指南——它將幫助你建立堅實的基礎,並學習其他高級課程。


保持領先,做出持久的選擇……


如果你想了解更多,請滾動到頁面頂部並選擇「立即購買」按鈕


★★★ 購買平裝本即可免費獲得 Kindle 版本 ★★★


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