Data Analytics and Machine Learning: Navigating the Big Data Landscape
Singh, Pushpa, Mishra, Asha Rani, Garg, Payal
- 出版商: Springer
- 出版日期: 2024-03-20
- 售價: $6,120
- 貴賓價: 9.5 折 $5,814
- 語言: 英文
- 頁數: 353
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819704472
- ISBN-13: 9789819704477
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相關分類:
大數據 Big-data、Machine Learning、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.
商品描述(中文翻譯)
本書深入分析了成功的數據驅動項目，突出展示了組織如何利用數據來推動決策過程、優化運營並取得卓越成果。通過案例研究，讀者可以獲得寶貴的見解，並學習在自己的組織中實施數據分析、大數據和機器學習解決方案的實用策略。本書討論了數據分析和大數據在各行業和領域中的轉型力量，以及機器學習應用如何通過實現先進的數據分析技術，如地圖繪製、地理空間分析和環境監測，從而提升我們對世界及其動態過程的理解。本書探討了大數據爆炸、分析能力和機器學習革命如何在充滿數據的動態環境中帶來新的前景和機遇。它突出了數據分析、大數據和機器學習領域未來的研究方向，涵蓋了處理和分析實時和流式數據等跨學科方法，探索了這些領域中的新興趨勢、挑戰和機遇。
作者簡介
Dr. Pushpa Singh is working as an associate professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include performance evaluation of heterogeneous wireless networks, machine learning and blockchain technology.
Dr. Asha Rani Mishra is working as an associate professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include machine learning, AI, NLP, and deep learning.
Dr. Payal Garg is working as an assistant professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include image processing and machine learning techniques.
作者簡介(中文翻譯)
Dr. Pushpa Singh目前在印度的GL Bajaj Institute of Technology & Management擔任副教授。她目前的研究領域包括異質無線網路的性能評估、機器學習和區塊鏈技術。
Dr. Asha Rani Mishra目前在印度的GL Bajaj Institute of Technology & Management擔任副教授。她目前的研究領域包括機器學習、人工智慧、自然語言處理和深度學習。
Dr. Payal Garg目前在印度的GL Bajaj Institute of Technology & Management擔任助理教授。她目前的研究領域包括影像處理和機器學習技術。
