Data Science Programming All-In-One for Dummies
暫譯: 數據科學程式設計全方位指南
Mueller, John Paul, Massaron, Luca
- 出版商: For Dummies
- 出版日期: 2020-01-09
- 定價: $1,650
- 售價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 768
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1119626110
- ISBN-13: 9781119626114
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相關分類:
Data Science
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商品描述
Most of the books on the market are written for the science professional and often limit their audience to a reader specializing in data science, AI, or computer science. These books focus on people who already have the coding knowledge to write applications, the math background to work with algorithms, and the data management background to interact with data sources successfully. This book addresses their needs by providing simple techniques to access data, manipulate it using clearly described algorithms, and interacting with it using code written in one of three languages. The result is a book that has a broad audience of people who need this resource.
Data science is always part of something bigger. Most books look at data science as the means to an end, but the real world doesn't work this way. In the real world, a person uses data science to find essential data that is then used to do something else. Many applications require the use of data science, such as security systems, AI, analysis for research, medicine, and even seemingly odd applications like oceanography.
This is the only book on the market that provides coverage in the three most popular data science languages: Python, R, and Java. Most books support only one language, with Python being the most popular (followed closely by R). By supporting multiple languages, this book has an advantage in being able to use the easiest language to write any particular example and to be able to compare the languages as the book progresses. The reader can use this information to easily discern which languages work better for specific data science needs.
商品描述(中文翻譯)
大多數市場上的書籍都是為科學專業人士撰寫的,通常將讀者限制在專注於數據科學、人工智慧或計算機科學的領域。這些書籍專注於那些已經具備編寫應用程式的程式碼知識、能夠處理算法的數學背景,以及能夠成功與數據來源互動的數據管理背景的人士。本書通過提供簡單的技術來訪問數據,使用清晰描述的算法來操作數據,並使用三種語言之一編寫的程式碼與數據互動,來滿足這些需求。最終,這本書的受眾範圍廣泛,適合需要這種資源的人。
數據科學總是與更大的事物相關聯。大多數書籍將數據科學視為達成目的的手段,但現實世界並不是這樣運作的。在現實世界中,人們使用數據科學來尋找關鍵數據,然後將這些數據用於其他目的。許多應用程序需要使用數據科學,例如安全系統、人工智慧、研究分析、醫學,甚至一些看似奇特的應用,如海洋學。
這是市場上唯一一本涵蓋三種最受歡迎的數據科學語言的書籍:Python、R 和 Java。大多數書籍僅支持一種語言,其中 Python 是最受歡迎的(緊隨其後的是 R)。通過支持多種語言,本書在能夠使用最簡單的語言來編寫特定示例方面具有優勢,並能夠隨著書籍的進展比較這些語言。讀者可以利用這些信息輕鬆辨別哪些語言更適合特定的數據科學需求。
作者簡介
John Mueller has produced 114 books and more than 600 articles on topics ranging from functional programming techniques to working with Amazon Web Services (AWS). Luca Massaron, a Google Developer Expert (GDE), interprets big data and transforms it into smart data through simple and effective data mining and machine learning techniques.
作者簡介(中文翻譯)
約翰·穆勒已出版114本書籍和超過600篇文章,主題涵蓋從函數式程式設計技術到使用Amazon Web Services (AWS)。盧卡·馬薩隆是一位Google開發者專家 (GDE),他通過簡單而有效的資料挖掘和機器學習技術,將大數據解釋並轉化為智慧數據。