Rai Ramkumar (9 results)

Hardcover. Condition: Fine. Leichte Kratzer / Abnutzungen / Druckstellen; Leichte Gebrauchsspuren; Leichte Verformung / umgeknickte Seiten; Leichte Verschmutzung / Farbtonveränderung.

Hardback. Condition: Average. Below average copy. approx 300pp. Book.

Hardcover. Condition: Fine. Leichte Gebrauchsspuren; Leichte Verschmutzung / Farbtonveränderung.

First Edition. 5.5" x 8.75" pp. v, 142; diagrams, black and white illustrations. First edition. Green cloth boards are sound with a few light scuffs; light toning and wrinkling to the spine. Front and rear pastedowns/endpapers are wrinkled with toning. Text is bright and clean. Good to very good. An in-depth guide to the practice of Mantra-Yoga as a means of attaining enlightenment. Featuring a series of diagrams, illustrations, and text walking the reader through this sacred process. .…

Hardcover. Condition: used/Good. 372 Pages. New End Papers. Text In Sanskrit And Hindi. Upper Board Corner Loss Repaired. External Wear.

769 S./pp., Zweispaltensatz / double columned, Originalleineneinband (publisher's cloth binding), Rücken gering gebrauchsspurig / spine shows some wear and tear, sonst gutes Exemplar (otherwise fine), Sprache: sanskrit.

Hardcover. Condition: New. Language: English. THIS RARE/ANTIQUE BOOK PUBLISHED IN THE YEAR 1973 BY Indian Statistical Institute HAVING 462 PGS AND SIZE 5.50*8.75 WRITTEN IN English. THE BOOK IS IN READABLE CONDITION Originally in Hardcover with some issues like loose binding and some Pin Holes. THE IMAGE OF THIS BOOK IS GIVEN FOR YOUR REFERENCE. WE CAN REBIND THE SAME IN LEATHER BINDING FOR EXTRA $ 25. 462.…

Hardcover. Condition: new. Hardcover. This book integrates the concepts of explainable artificial intelligence and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.The book:Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence and explainable artificial intelligence.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, biomedical engineering, and information technology. The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. This book integrates the concepts of explainable artificial intelligence and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.The book:Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence and explainable artificial intelligence.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, biomedical engineering, and information technology. The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…