Learning Data Mining with Python
暫譯: 使用 Python 學習資料探勘

Robert Layton

  • 出版商: Packt Publishing
  • 出版日期: 2015-07-30
  • 售價: $2,010
  • 貴賓價: 9.5$1,910
  • 語言: 英文
  • 頁數: 369
  • 裝訂: Paperback
  • ISBN: 1784396052
  • ISBN-13: 9781784396053
  • 相關分類: Python程式語言Data-mining
  • 已過版

商品描述

Harness the power of Python to analyze data and create insightful predictive models

About This Book

  • Learn data mining in practical terms, using a wide variety of libraries and techniques
  • Learn how to find, manipulate, and analyze data using Python
  • Step-by-step instructions on creating real-world applications of data mining techniques

Who This Book Is For

If you are a programmer who wants to get started with data mining, then this book is for you.

What You Will Learn

  • Apply data mining concepts to real-world problems
  • Predict the outcome of sports matches based on past results
  • Determine the author of a document based on their writing style
  • Use APIs to download datasets from social media and other online services
  • Find and extract good features from difficult datasets
  • Create models that solve real-world problems
  • Design and develop data mining applications using a variety of datasets
  • Set up reproducible experiments and generate robust results
  • Recommend movies, online celebrities, and news articles based on personal preferences
  • Compute on big data, including real-time data from the Internet

In Detail

The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis.

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems.

There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK.

Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.

商品描述(中文翻譯)

利用 Python 的力量來分析數據並創建有洞察力的預測模型

本書介紹


  • 以實用的方式學習數據挖掘,使用各種庫和技術

  • 學習如何使用 Python 查找、操作和分析數據

  • 逐步指導創建數據挖掘技術的實際應用

本書適合誰

如果您是一位希望開始學習數據挖掘的程式設計師,那麼這本書適合您。

您將學到什麼


  • 將數據挖掘概念應用於現實世界的問題

  • 根據過去的結果預測體育比賽的結果

  • 根據作者的寫作風格確定文件的作者

  • 使用 API 從社交媒體和其他在線服務下載數據集

  • 從困難的數據集中找到並提取良好的特徵

  • 創建解決現實世界問題的模型

  • 使用各種數據集設計和開發數據挖掘應用

  • 設置可重複的實驗並生成穩健的結果

  • 根據個人偏好推薦電影、網絡名人和新聞文章

  • 在大數據上進行計算,包括來自互聯網的實時數據

詳細內容

在信息時代的下一步是從湧來的數據洪流中獲取洞察。數據挖掘提供了一種尋找這些洞察的方法,而 Python 是數據挖掘中最受歡迎的語言之一,提供了強大且靈活的分析能力。

本書教您使用各種數據集設計和開發數據挖掘應用,從基本的分類和關聯分析開始。接下來,我們將進入更複雜的數據類型,包括文本、圖像和圖形。在每一章中,我們都會創建解決現實世界問題的模型。

Python 中有豐富多樣的數據挖掘庫可供使用。本書涵蓋了大量庫,包括 IPython Notebook、pandas、scikit-learn 和 NLTK。

本書的每一章都會向您介紹新的算法和技術。到本書結束時,您將對使用 Python 進行數據挖掘有深入的了解,並對算法和實現有良好的知識和理解。

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