No-code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms

No-code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms Min Soo Kang and Sung Yul Park and Myung-Ae Han Chung and Dong-Hun Han

info Details

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.

business World Scientific Publishing Company
menu_book N/A
calendar_today 2024
qr_code_2 9789811293917
language EN
description 380 pages
No-code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms

No-code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms Min Soo Kang and Sung Yul Park and Myung-Ae Han Chung and Dong-Hun Han

info Details

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.

business World Scientific Publishing Company
menu_book N/A
calendar_today 2024
qr_code_2 9789811293917
language EN
description 380 pages