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Generative AI in R
Akansha Singh, Krishna Kant Singh (Broschiert, Englisch)
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Beschreibung
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 computing 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. 40,65 €
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Technische Daten
Erscheinungsdatum
03.01.2026
Sprache
Englisch
EAN
9798868817625
Herausgeber
APRESS
Sonderedition
Nein
Autor
Akansha Singh, Krishna Kant Singh
Seitenanzahl
580
Einbandart
Broschiert
Buch Untertitel
Transforming Data Science with Synthetic Data and Advanced Modeling Techniques
Schlagwörter
Generative AI, R programming, Generative Adversarial Networks, GANs, Variational Autoencoders, VAEs, Synthetic data generation, Ethical AI considerations, Data-driven insights, Advanced AI techniques, Statistical computing, Data analysis optimization, Large Language Models, data visualization
Thema-Inhalt
UYQ - Künstliche Intelligenz
UMX - Programmier- und Skriptsprachen, allgemein
UM - Computerprogrammierung und Softwareentwicklung
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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