Sanjay Desale (88 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical and employee-centric workplaces.Examines generative AI's applications across recruitment, onboarding, LandD, engagement, and retentionProvides strategic frameworks for integrating AI into HR ecosystemsIncludes case studies and practical deployment examples from real organizationsAddresses key issues of AI bias, explainability, data privacy and complianceOffers guidance on selecting and evaluating HR-specific AI toolsExplains core AI concepts for both technical and non-technical HR professionalsIncludes future-focused insights into AI-driven workforce planning and employee experience designThis book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Methodology to Develop Depth Classification Scheme for Physics | Sanjay Desale (u. a.) | Taschenbuch | 200 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330090279 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condition: New. Dr. Ketan Sanjay Desale is a distinguished researcher and educator in the field of computer science, with a specialized focus on artificial intelligence, machine learning, and concept drift detection. Holding a Ph.D. in Computer Engineering, he has built.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Neuware - This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the transformative power of cutting-edge models such as GPT-3.5 and GPT-4. It offers real-world case studies to observe firsthand how concept drift influences the performance of language models in a variety of circumstances, delivering valuable lessons learnt and actionable takeaways. The book is designed for professionals, AI practitioners, and scholars, focused on natural language processing, machine learning, and artificial intelligence. - Examines concept drift in AI, particularly its impact on large language models - Analyses how concept drift affects large language models and its theoretical and practical consequences - Covers detection methods and practical implementation challenges in language models - Showcases examples of concept drift in GPT models and lessons learnt from their performance - Identifies future research avenues and recommendations for practitioners tackling concept drift in large language models.…

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical and employee-centric workplaces.Examines generative AI's applications across recruitment, onboarding, LandD, engagement, and retentionProvides strategic frameworks for integrating AI into HR ecosystemsIncludes case studies and practical deployment examples from real organizationsAddresses key issues of AI bias, explainability, data privacy and complianceOffers guidance on selecting and evaluating HR-specific AI toolsExplains core AI concepts for both technical and non-technical HR professionalsIncludes future-focused insights into AI-driven workforce planning and employee experience designThis book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Paperback. Condition: Brand New. 160 pages. 9.18x6.12x9.21 inches. In Stock.

Condition: New. Dr. Ketan Sanjay Desale is a researcher, academician, and technology leader in computer science, with expertise in artificial intelligence, machine learning, and concept drift detection. He holds a Ph.D. in Computer Engineering and has d.

Condition: New. In English.

Paperback. Condition: New. This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical and employee-centric workplaces.Examines generative AI's applications across recruitment, onboarding, LandD, engagement, and retentionProvides strategic frameworks for integrating AI into HR ecosystemsIncludes case studies and practical deployment examples from real organizationsAddresses key issues of AI bias, explainability, data privacy and complianceOffers guidance on selecting and evaluating HR-specific AI toolsExplains core AI concepts for both technical and non-technical HR professionalsIncludes future-focused insights into AI-driven workforce planning and employee experience designThis book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.…

Hardback. Condition: New. This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the transformative power of cutting-edge models such as GPT-3.5 and GPT-4. It offers real-world case studies to observe firsthand how concept drift influences the performance of language models in a variety of circumstances, delivering valuable lessons learnt and actionable takeaways. The book is designed for professionals, AI practitioners, and scholars, focused on natural language processing, machine learning, and artificial intelligence.Examines concept drift in AI, particularly its impact on large language modelsAnalyses how concept drift affects large language models and its theoretical and practical consequencesCovers detection methods and practical implementation challenges in language modelsShowcases examples of concept drift in GPT models and lessons learnt from their performanceIdentifies future research avenues and recommendations for practitioners tackling concept drift in large language models.…