No-Code Ai: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
| AUTHOR | Chung, Myeong-Ae; Yul, Park Sung; Kang, Minsoo et al. |
| PUBLISHER | World Scientific Publishing Company (08/15/2024) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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.
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Product Format
Product Details
ISBN-13:
9789811293917
ISBN-10:
9811293910
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
404
Carton Quantity:
10
Product Dimensions:
6.69 x 0.83 x 9.61 inches
Weight:
1.41 pound(s)
Feature Codes:
Bibliography,
Index
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Data Science - Machine Learning
Dewey Decimal:
006.3
Library of Congress Control Number:
2024018829
Descriptions, Reviews, Etc.
publisher marketing
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.
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List Price $88.00
Your Price
$87.12