NO-CODE AI: CONCEPTS AND APPLICATIONS IN MACHINE LEARNING, VISUALIZATION, AND CLOUD PLATFORMS

Dong-hun Han, Min Soo Kang, Sung Yul Park, Myung-Ae Chung

ISBN 10: 9811293910 / ISBN 13: 9789811293917

Published by World Scientific Publishing Co Pte Ltd, SG, 2024

About this Item

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.

Seller Inventory # LU-9789811293917

Bibliographic Details

• Title: NO-CODE AI: CONCEPTS AND APPLICATIONS IN MACHINE LEARNING, VISUALIZATION, AND CLOUD PLATFORMS
• Publisher: World Scientific Publishing Co Pte Ltd, SG
• Publication Date: 2024
• Language: English
• ISBN 10: 9811293910
• ISBN 13: 9789811293917
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.