Mastering Data Science: Unraveling Patterns and Predictive Analytics for Building Intelligent Systems
暫譯: 掌握資料科學:揭示模式與預測分析以構建智能系統

Bhadouria, Aashi Singh, Ahirwar, Anamika

  • 出版商: Apple Academic Press
  • 出版日期: 2026-08-10
  • 售價: $7,890
  • 貴賓價: 9.5$7,495
  • 語言: 英文
  • 頁數: 518
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1779640501
  • ISBN-13: 9781779640505
  • 相關分類: PythonMachine Learning大數據 Big-data
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

In an era defined by explosive data growth, understanding data science is more essential than ever. This book offers a clear and practical introduction to the field, equipping readers with the tools to collect, clean, analyze, and interpret data for informed decision-making.

Covering core concepts and modern techniques, the book guides readers through data analysis, statistics, machine learning, and big data technologies, supported by real-world examples, case studies, and hands-on exercises. Complex topics are presented in an accessible way, enabling a strong grasp of data patterns, algorithms, and analytical thinking.

The volume also addresses emerging trends and ethical considerations, including data privacy and responsible AI use. Designed for students, early learners, and professionals across disciplines such as business, healthcare, finance, and marketing, this book serves as both a foundational guide and a practical resource for applying data science in real-world contexts.

商品描述(中文翻譯)

在一個以數據爆炸性增長為特徵的時代,理解數據科學比以往任何時候都更為重要。本書提供了對該領域的清晰且實用的介紹,幫助讀者掌握收集、清理、分析和解釋數據的工具,以便做出明智的決策。

本書涵蓋核心概念和現代技術,指導讀者進行數據分析、統計、機器學習和大數據技術,並通過真實案例、案例研究和實作練習來支持學習。複雜的主題以易於理解的方式呈現,使讀者能夠深入掌握數據模式、算法和分析思維。

本書還探討了新興趨勢和倫理考量,包括數據隱私和負責任的人工智慧使用。針對學生、初學者以及來自商業、醫療保健、金融和行銷等各個領域的專業人士設計,本書既是基礎指南,也是將數據科學應用於現實世界的實用資源。

作者簡介

Aashi Singh Bhadouria is an Assistant Professor of Computer Science and Engineering at the Madhav Institute of Technology and Science, Gwalior, India. She has published numerous research papers in national and international journals and has participated in several conferences. Her research interests include digital image processing, computer vision, machine learning, natural image processing, big data computing, and artificial intelligence. She has supervised undergraduate and postgraduate students on major, minor, and internship projects and is a member of IEEE.

Anamika Ahirwar, PhD, is Professor and Head of the Department of Computer Science and Engineering at the Compucom Institute of Technology and Management, Rajasthan, India. With over 21 years of academic and research experience, she has published more than 80 papers in indexed journals and conference proceedings. She has authored and edited several books with leading international publishers and has received multiple honors, including the I2OR National Eminent Researcher Award, Academic Influencer Award, and Faculty Excellence Award. Dr. Ahirwar holds five published patents and has supervised numerous postgraduate and doctoral scholars. She also serves as a reviewer and editorial board member for reputed journals and conferences, contributing actively to advancements in emerging technologies.

作者簡介(中文翻譯)

Aashi Singh Bhadouria 是印度瓜爾雅的馬達夫科技與科學學院計算機科學與工程系的助理教授。她在國內外期刊上發表了多篇研究論文,並參加了多個會議。她的研究興趣包括數位影像處理、計算機視覺、機器學習、自然影像處理、大數據計算和人工智慧。她曾指導本科生和研究生進行主要、次要及實習專案,並且是IEEE的成員。

Anamika Ahirwar, PhD, 是印度拉賈斯坦邦Compucom科技與管理學院計算機科學與工程系的教授及系主任。擁有超過21年的學術和研究經驗,她在索引期刊和會議論文集中發表了超過80篇論文。她與多家國際知名出版社合作撰寫和編輯了幾本書籍,並獲得多項榮譽,包括I2OR國家傑出研究者獎、學術影響力獎和教學卓越獎。Ahirwar博士擁有五項已發表的專利,並指導了眾多研究生和博士生。她還擔任多個知名期刊和會議的審稿人及編輯委員會成員,積極貢獻於新興技術的發展。