Java Data Science Cookbook

Rushdi Shams

相關主題

商品描述

Key Features

  • This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
  • Use these recipes to obtain, clean, analyze, and learn from your data
  • Learn how to get your data science applications to production and enterprise environments effortlessly

Book Description

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to.

This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data.

Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more―things that will come in handy at work.

What you will learn

  • Find out how to clean and make datasets ready so you can acquire actual insights by removing noise and outliers
  • Develop the skills to use modern machine learning techniques to retrieve information and transform data to knowledge. retrieve information from large amount of data in text format.
  • Familiarize yourself with cutting-edge techniques to store and search large volumes of data and retrieve information from large amounts of data in text format
  • Develop basic skills to apply big data

商品描述(中文翻譯)

《關鍵特點》
- 本書提供現代化的食譜,以小步驟幫助學徒廚師成為資料科學的大廚
- 使用這些食譜來獲取、清理、分析和學習您的數據
- 學習如何輕鬆將您的資料科學應用程序部署到生產和企業環境中

《書籍描述》
如果您想建立適合生產的資料科學模型,Java可以幫助您。借助強大的庫,如MLlib、Weka、DL4j等,您可以高效地執行所需的所有資料科學任務。

這本獨特的書籍提供了現代化的食譜,以解決您常見和不太常見的與資料科學相關的問題。我們從幫助您獲取、清理、索引和搜索數據的食譜開始。然後,您將學習各種技術來分析、從數據中學習和檢索信息。您還將了解如何處理大數據、深入從數據中學習和可視化數據。

最後,您將通過獨特的食譜解決問題,將資料科學應用程序部署到生產環境中,編寫分佈式資料科學應用程序等等,這些將在工作中派上用場。

《您將學到什麼》
- 了解如何清理和準備數據集,以便通過去除噪音和異常值獲得實際洞察力
- 發展使用現代機器學習技術檢索信息並將數據轉化為知識的能力。從文本格式的大量數據中檢索信息。
- 熟悉存儲和搜索大量數據以及從文本格式的大量數據中檢索信息的尖端技術
- 發展應用大數據的基本技能