No-Code Ai: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms

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

No-Code Ai: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
  • 出版商: World Scientific Pub
  • 出版日期: 2024-08-15
  • 售價: $7,330
  • 貴賓價: 9.5 折 $6,964
  • 語言: 英文
  • 頁數: 404
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811293880
  • ISBN-13: 9789811293887
  • 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AI、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進行探討。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。本指南彌合了AI理論與實踐之間的鴻溝，對於該領域的初學者來說，是一個寶貴的資源。

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