dinov (69 Ergebnisse)

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

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

4°, OKarton, Nr. 3/86;. 159 S. mit zahlr. Ill., Sprache: Englisch Gewicht in Gramm: 550.

Paperback. Zustand: Brand New. 72 pages. 8.27x5.71x0.20 inches. In Stock.

xxxiv, 832 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

hardcover. Zustand: Very Good. The copy shows minor external wear, but is in otherwise clean condition.

hardcover. Zustand: Fine.

Paperback. Zustand: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Paperback. Zustand: Brand New. 88 pages. Spanish language. 8.66x5.91x0.20 inches. In Stock.

Kartoniert / Broschiert. Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - This book investigates the formation of the EU policy agenda, focusing on digitalisation. It presents theoretical approaches to agenda-setting and examines how they are shaped by multiple actors and factors across different governance levels. The study highlights the key role of EU Member States (MSs) in shaping the agenda through the EU institutions. Special emphasis is placed on the internal factors influencing national positions. The research centres on Germany's influence on the EU Artificial Intelligence (AI) Act, exploring how its national AI priorities are formed through diverse actors and channels. The analysis evaluates Germany's evolving position, considering industry, social groups, international factors, and trade-offs, between social concerns and economic opportunities. The study discusses key AI-related concerns and future policy prospects. The author holds a Doctor Juris from Heidelberg, multiple LLMs, and policy studies at Harvard and KU Leuven. He has worked for prestigious law firms, the European Commission, and EESC.

Taschenbuch. Zustand: Neu. Neuware -This book investigates the formation of the EU policy agenda, focusing on digitalisation. It presents theoretical approaches to agenda-setting and examines how they are shaped by multiple actors and factors across different governance levels. The study highlights the key role of EU Member States (MSs) in shaping the agenda through the EU institutions. Special emphasis is placed on the internal factors influencing national positions.The research centres on Germany's influence on the EU Artificial Intelligence (AI) Act, exploring how its national AI priorities are formed through diverse actors and channels. The analysis evaluates Germany's evolving position, considering industry, social groups, international factors, and trade-offs, between social concerns and economic opportunities. The study discusses key AI-related concerns and future policy prospects.Lit Verlag, Fresnostraße 2, 48159 Münster 72 pp. Englisch.

Taschenbuch. Zustand: Neu. The private trade associations as a private regulator | In making financial markets more efficient and stable | Stanyo Dinov | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330327849 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. EU Policy Agenda Formation | What Has Been the Influence of Germany on the EU Digital Agenda, in Particular on the Artificial Intelligence (AI) Act? | Stanyo Dinov | Taschenbuch | Politikwissenschaft (Lit-Verlag) | 72 S. | Englisch | 2025 | Lit Verlag | EAN 9783643918574 | Verantwortliche Person für die EU: Lit Verlag, Fresnostr. 2, 48159 Münster, lit[at]lit-verlag[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 88 pages. French language. 8.66x5.91x0.20 inches. In Stock.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. European Capital Markets Union | claims and criticisms | Stanyo Dinov | Taschenbuch | Englisch | 2020 | LAP Lambert Academic Publishing | EAN 9786200534392 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Las asociaciones profesionales privadas como regulador privado | Para que los mercados financieros sean más eficientes y estables | Stanyo Dinov | Taschenbuch | Spanisch | 2024 | Ediciones Nuestro Conocimiento | EAN 9786207433247 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -> Moore's law). Second, traditional discipline-bounds inhibit expeditious progress. Third, our education and training activities have fallen behind the accelerated trend of scientific, information, and communication advances. There are very few rigorous instructional resources, interactive learning materials, and dynamic training environments that support active data science learning. The textbook balances the mathematical foundations with dexterous demonstrations and examples of data, tools, modules and workflows that serve as pillars for the urgently needed bridge to close that supply and demand predictive analytic skills gap.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 868 pp. Englisch.

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

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

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

Taschenbuch. Zustand: Neu. Data Science and Predictive Analytics | Biomedical and Health Applications using R | Ivo D. Dinov | Taschenbuch | xxxiv | Englisch | 2019 | Springer Nature Switzerland | EAN 9783030101879 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human experiences. Our ability to manage, understand, interrogate, and interpret such extremely large, multisource, heterogeneous, incomplete, multiscale, and incongruent data has not kept pace with the rapid increase of the volume, complexity and proliferation of the deluge of digital information. There are three reasons for this shortfall. First, the volume of data is increasing much faster than the corresponding rise of our computational processing power (Kryder's law > Moore's law). Second, traditional discipline-bounds inhibit expeditious progress. Third, our education and training activities have fallen behind the accelerated trend of scientific, information, and communication advances. There are very few rigorous instructional resources, interactive learning materials, and dynamic trainingenvironments that support active data science learning. The textbook balances the mathematical foundations with dexterous demonstrations and examples of data, tools, modules and workflows that serve as pillars for the urgently needed bridge to close that supply and demand predictive analytic skills gap. Exposing the enormous opportunities presented by the tsunami of Big data, this textbook aims to identify specific knowledge gaps, educational barriers, and workforce readiness deficiencies. Specifically, it focuses on the development of a transdisciplinary curriculum integrating modern computational methods, advanced data science techniques, innovative biomedical applications, and impactful health analytics. The content of this graduate-level textbook fills a substantial gap in integrating modern engineering concepts, computational algorithms, mathematical optimization, statistical computing and biomedical inference. Big data analytic techniques and predictive scientific methods demand broad transdisciplinary knowledge, appeal to an extremely wide spectrum of readers/learners, and provide incredible opportunities for engagement throughout the academy, industry, regulatory and funding agencies. The two examples below demonstrate the powerful need for scientific knowledge, computational abilities, interdisciplinary expertise, and modern technologies necessary to achieve desired outcomes (improving human health and optimizing future return on investment). This can onlybe achieved by appropriately trained teams of researchers who can develop robust decision support systems using modern techniques and effective end-to-end protocols, like the ones described in this textbook.- A geriatric neurologist is examining a patient complaining of gait imbalance and posture instability. To determine if the patient may suffer from Parkinson's disease, the physician acquires clinical, cognitive, phenotypic, imaging, and genetics data (Big Data). Most clinics and healthcare centers are not equipped with skilled data analytic teams that can wrangle, harmonize and interpret such complex datasets. A learner that completes a course of study using this textbook will have the competency and ability to manage the data, generate a protocol for deriving biomarkers, and provide an actionable decision support system. The results of this protocol will help the physician understand the entire patient dataset and assist in making a holistic evidence-based, data-driven, clinical diagnosis.- To improve the return on investment for their shareholders, a healthcare manufacturer needs to forecast the demand for their product subject to environmental, demographic, economic, and bio-social sentiment data (Big Data). The organization's data-analytics team is tasked with developing a protocol that identifies, aggregates, harmonizes, models and analyzes these heterogeneous data elements to generate a trend forecast. Thissy.

Paperback. Zustand: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -El proyecto de la Unión Europea de Mercados de Capitales (CMU) fue anunciado por el ex presidente de la Comisión Europea Jean Claude Junker como el proyecto de mayor prioridad para la Unión Europea (UE). La CMU tiene que cumplir con la Unión Bancaria Europea (BU), pero a diferencia de ella no debe estar relacionada con mucha regulación para atraer al Reino Unido a la UE. El documento sopesa las ventajas y desventajas del proyecto y ofrece algunas sugerencias. También se dedica un capítulo especial del documento al Brexit y a las posibles formas de seguirlo. Este libro ha sido traducido con Inteligencia Artificial.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Spanisch.

Zustand: New.