No-code Ai: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms
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A01=Dong-hun Han
A01=Minsoo Kang
A01=Myeong-ae Chung
A01=Park Sung Yul
Age Group_Uncategorized
Age Group_Uncategorized
AI Business Solutions
AI Case Studies
AI Data Sources
AI Model Evaluation
AI Platform Services
AI Strategy
Amazon QuickSight
Amazon SageMaker
Artificial Intelligence
Author_Dong-hun Han
Author_Minsoo Kang
Author_Myeong-ae Chung
Author_Park Sung Yul
automatic-update
AWS for AI
Azure Automated ML
Azure Pipeline
BI Tools and AI
Business Intelligence
Category1=Non-Fiction
Category=UYQ
Category=UYQM
Cloud AI Technologies
Cloud-based AI
COP=Singapore
Data Collection
Deep Learning
Deep Learning Models
Delivery_Pre-order
eq_bestseller
eq_computing
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
Machine Learning
Machine Learning Applications
Microsoft Azure AI
Model Validation
PA=Temporarily unavailable
Power BI Desktop
Power BI for Analytics
Price_€50 to €100
PS=Forthcoming
SageMaker Autopilot
SageMaker Canvas
SageMaker Studio
softlaunch
Utilizing Amazon QuickSight
Utilizing SageMaker Canvas
Product details
- ISBN 9789811293917
- Publication Date: 15 Aug 2024
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Paperback
- Language: English
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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.
