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No-code Ai: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms - Softcover

 
9789811293917: No-code Ai: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms
  • PublisherWSPC
  • Publication date2024
  • ISBN 10 9811293910
  • ISBN 13 9789811293917
  • BindingPaperback
  • LanguageEnglish
  • Number of pages402

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9789811293887: No-Code Ai: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms

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ISBN 10:  9811293880 ISBN 13:  9789811293887
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Kang, Minsoo; Yul, Park Sung; Chung, Myeong-ae; Han, Dong-hun
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Minsoo Kang
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Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789811293917

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Min Soo Kang, Sung Yul Park Myung-Ae Ch
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MIN SOO KANG, SUNG YUL PARK MYUNG-AE CH (Author)
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Minsoo Kang
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789811293917

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Paperback. Condition: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9789811293917

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