Akansha Singh (290 results)
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- Softcover
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- Softcover
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Paperback. Condition: Brand New. 56 pages. 5.00x0.13x8.00 inches. In Stock.
The Basic Principles of Corporate Communication - Putting Efficient Reputation Management Processes in Operation
Sikarwar, Nitin Singh; Jaiswal, Lalit Prasad; Bhatnagar, Vinod Kumar; Sahu, Akansha
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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The Basic Principles of Corporate Communication - Putting Efficient Reputation Management Processes in Operation
Sikarwar, Nitin Singh; Jaiswal, Lalit Prasad; Bhatnagar, Vinod Kumar; Sahu, Akansha
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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The Basic Principles of Corporate Communication - Putting Efficient Reputation Management Processes in Operation
Sikarwar, Nitin Singh; Jaiswal, Lalit Prasad; Bhatnagar, Vinod Kumar; Sahu, Akansha
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pp. 252.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
- First Edition
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Paperback. Condition: New. First Edition. Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computin…g power of R.You'll begin with an introduction to Generative AI principles and its significance in the current data-driven landscape. You'll then dive into the practicalities of implementing generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in R. See how R, most known for its statistical analysis, can also be used for creative synthetic data, improving model robustness, and generating innovative insights from data. Additionally, this book addresses the demand for ethical AI by emphasizing the use of synthetic data to tackle privacy and data scarcity issues-concerns particularly relevant in healthcare, finance, and social research. We are at a pivotal moment in the evolution of AI and data science. With AI's growing importance, the book's focus on R makes advanced techniques more accessible, promoting ethical and innovative data science practice, preparing readers for upcoming trends.What You Will Learn Grasp the core concepts of Generative AI and its significance in the broader AI landscape.Implement various generative models in R, such as GANS and VAEs.Generate high-quality synthetic data.Apply advanced techniques for improving efficiency and effectiveness of models for different applications.Understand Gen AI ethical considerations.Who This Book Is For Data scientists and statisticians with intermediate R programming skills who want to expand into Generative AI for data analysis and problem-solving. AI enthusiasts and data analysts looking to apply Generative AI techniques in R to enhance their analytical capabilities.
- Softcover
- First Edition
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. First Edition. Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computin…g power of R.You'll begin with an introduction to Generative AI principles and its significance in the current data-driven landscape. You'll then dive into the practicalities of implementing generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in R. See how R, most known for its statistical analysis, can also be used for creative synthetic data, improving model robustness, and generating innovative insights from data. Additionally, this book addresses the demand for ethical AI by emphasizing the use of synthetic data to tackle privacy and data scarcity issues-concerns particularly relevant in healthcare, finance, and social research. We are at a pivotal moment in the evolution of AI and data science. With AI's growing importance, the book's focus on R makes advanced techniques more accessible, promoting ethical and innovative data science practice, preparing readers for upcoming trends.What You Will Learn Grasp the core concepts of Generative AI and its significance in the broader AI landscape.Implement various generative models in R, such as GANS and VAEs.Generate high-quality synthetic data.Apply advanced techniques for improving efficiency and effectiveness of models for different applications.Understand Gen AI ethical considerations.Who This Book Is For Data scientists and statisticians with intermediate R programming skills who want to expand into Generative AI for data analysis and problem-solving. AI enthusiasts and data analysts looking to apply Generative AI techniques in R to enhance their analytical capabilities.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 60.
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
- First Edition
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Paperback. Condition: New. First Edition. Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computin…g power of R.You'll begin with an introduction to Generative AI principles and its significance in the current data-driven landscape. You'll then dive into the practicalities of implementing generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in R. See how R, most known for its statistical analysis, can also be used for creative synthetic data, improving model robustness, and generating innovative insights from data. Additionally, this book addresses the demand for ethical AI by emphasizing the use of synthetic data to tackle privacy and data scarcity issues-concerns particularly relevant in healthcare, finance, and social research. We are at a pivotal moment in the evolution of AI and data science. With AI's growing importance, the book's focus on R makes advanced techniques more accessible, promoting ethical and innovative data science practice, preparing readers for upcoming trends.What You Will Learn Grasp the core concepts of Generative AI and its significance in the broader AI landscape.Implement various generative models in R, such as GANS and VAEs.Generate high-quality synthetic data.Apply advanced techniques for improving efficiency and effectiveness of models for different applications.Understand Gen AI ethical considerations.Who This Book Is For Data scientists and statisticians with intermediate R programming skills who want to expand into Generative AI for data analysis and problem-solving. AI enthusiasts and data analysts looking to apply Generative AI techniques in R to enhance their analytical capabilities.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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