No-Code Ai: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
暫譯: 無程式碼 AI:機器學習、視覺化與雲端平台的概念與應用

Kang, Minsoo, Yul, Park Sung, Chung, Myeong-Ae

  • 出版商: World Scientific Pub
  • 出版日期: 2024-08-15
  • 售價: $3,640
  • 貴賓價: 9.5$3,458
  • 語言: 英文
  • 頁數: 404
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811293910
  • ISBN-13: 9789811293917
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

This book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background. It introduces AI, machine learning, and deep learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects.This guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.

商品描述(中文翻譯)

本書是一本適合初學者的人工智慧(AI)指南,特別適合沒有技術背景的人士。它介紹了人工智慧、機器學習和深度學習的基本概念,重點在於無需編碼的方法,以便於理解。書中還涵蓋了資料科學、資料探勘和大數據處理,始終保持無編碼的方式。實際應用方面,使用無編碼平台如 Microsoft Azure Machine Learning 和 AWS SageMaker 進行探索。讀者將通過逐步指導和真實數據範例來應用學習演算法,而無需編寫程式碼。此外,書中還包括了將商業智慧工具如 Power BI 和 AWS QuickSight 整合到機器學習專案中的內容。本指南彌補了人工智慧理論與實踐之間的鴻溝,對於該領域的初學者來說,是一本寶貴的資源。