No Code Concepts Applications Machine by Kang Minsoo (8 results)
- Softcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Fine
£ 58.96
£ 3.70 shippingShips within U.S.A.Quantity: 1 available
paperback. Condition: Fine.
- Softcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Very good
£ 58.96
£ 3.70 shippingShips within U.S.A.Quantity: 1 available
paperback. Condition: Very Good. Cover and edges may have some wear.
No-code Ai: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms
Kang, Minsoo; Yul, Park Sung; Chung, Myeong-ae; Han, Dong-hun
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 80.94
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2024
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 94.15
Free ShippingShips from United Kingdom to U.S.A.Quantity: 9 available
Paperback. Condition: New. 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.
No-code Ai: Concepts And Applications In Machine Learning, Visualization, And Cloud Platforms
Kang, Minsoo; Yul, Park Sung; Chung, Myeong-ae; Han, Dong-hun
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 86.65
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
Language: English
Published by World Scientific Publishing Co Pte Ltd, Singapore, 2024
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 102.12
Free ShippingShips within U.S.A.Quantity: 1 available
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.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2024
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 85.90
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 9 available
Paperback. Condition: New. 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.
Language: English
Published by World Scientific Publishing Co Pte Ltd, Singapore, 2024
- Softcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 154.89
£ 27.43 shippingShips from Australia to U.S.A.Quantity: 1 available
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.
