Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Davy Cielen, Arno Meysman, Mohamed Ali

買這商品的人也買了...

相關主題

商品描述

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

 

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.

About the Book

Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science.

What’s Inside

  • Handling large data
  • Introduction to machine learning
  • Using Python to work with data
  • Writing data science algorithms

About the Reader

This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required.

About the Authors

Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.

Table of Contents

  1. Data science in a big data world
  2. The data science process
  3. Machine learning
  4. Handling large data on a single computer
  5. First steps in big data
  6. Join the NoSQL movement
  7. The rise of graph databases
  8. Text mining and text analytics
  9. Data visualization to the end user

商品描述(中文翻譯)


摘要

Introducing Data Science教導你如何完成資料科學家所需的基本任務。使用Python語言和常見的Python庫,你將第一手體驗處理大規模數據的挑戰,並建立堅實的資料科學基礎。

 

購買印刷版書籍將包含Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。

關於技術

許多公司需要具備資料科學技能的開發人員參與從社交媒體營銷到機器學習等項目。了解作為資料科學家開始職業生涯所需學習的內容可能會讓人困惑。本書旨在幫助你入門。

關於本書

Introducing Data Science解釋了重要的資料科學概念,並教導你如何完成資料科學家所需的基本任務。你將探索資料可視化、圖形數據庫、NoSQL的使用以及資料科學過程。你將使用Python語言和常見的Python庫,第一手體驗處理大規模數據的挑戰。了解Python如何讓你從需要存儲在多台機器上的大型數據集中獲得洞察,或者從數據移動得如此之快以至於單台機器無法處理。本書讓你親自體驗最受歡迎的Python資料科學庫Scikit-learn和StatsModels。閱讀本書後,你將擁有開始資料科學職業生涯所需的堅實基礎。

內容簡介


  • 處理大型數據

  • 機器學習入門

  • 使用Python處理數據

  • 編寫資料科學算法

讀者對象

本書假設你能夠熟悉閱讀Python或類似語言(如C、Ruby或JavaScript)的程式碼。不需要具備資料科學的先前經驗。

作者簡介

Davy CielenArno D. B. MeysmanMohamed Ali是Optimately和Maiton的創始人和經營合夥人,專注於各個行業的資料科學項目和解決方案開發。

目錄


  1. 大數據世界中的資料科學

  2. 資料科學過程

  3. 機器學習

  4. 在單台計算機上處理大型數據

  5. 大數據的第一步

  6. 加入NoSQL運動

  7. 圖形數據庫的崛起

  8. 文本探勘和文本分析

  9. 將數據可視化給最終用戶