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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 - 1 of 1
$88.00 when purchased online
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About this item

Highlights

  • This book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background.
  • Author(s): Minsoo Kang & Park Sung Yul & Myeong-Ae Chung & Dong-Hun Han
  • 404 Pages
  • Computers + Internet, Intelligence (AI) & Semantics

Description



About the Book



"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"--



Book 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.
Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .83 Inches (D)
Weight: 1.41 Pounds
Suggested Age: 22 Years and Up
Sub-Genre: Intelligence (AI) & Semantics
Genre: Computers + Internet
Number of Pages: 404
Publisher: World Scientific Publishing Company
Format: Paperback
Author: Minsoo Kang & Park Sung Yul & Myeong-Ae Chung & Dong-Hun Han
Language: English
Street Date: August 15, 2024
TCIN: 92146978
UPC: 9789811293917
Item Number (DPCI): 247-20-1597
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.83 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1.41 pounds
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