Gutscheinbedingungen

**Gültig bis 14.09.2026 auf Spielzeug, Schreibwaren, Filme, Geschenke & Trends, Musik, tolino eReader & Zubehör, Hörbücher, nicht preisgebundene Bücher und Kalender in der Thalia App. Einzelne Artikel können ausgeschlossen sein. Aufgrund der Buchpreisbindung sind deutschsprachige Bücher und eBooks ausgenommen. Zusätzlich ausgenommen sind Abos & Flatrates, Games, Geschenkkarten/-boxen, Shelfies, Software, Zeitschriften sowie einzelne Artikel von tonies®. Pro Einkauf einmal einlösbar. Nur gültig mit im Onlineshop hinterlegter Bonuscard. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Versandkosten und Services.

Produktbild: Frugal, Strategic, Societal Scale and Agentic AI, Volume 2
Band 1300 - 11%

Frugal, Strategic, Societal Scale and Agentic AI, Volume 2

11% sparen

212,99 € UVP 241,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.12.2026

Abbildungen

XI, 392 p. 141 illus., 134 illus. in color.

Herausgeber

Neha Sharma + weitere

Verlag

Springer

Seitenzahl

392

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-34733-6

Beschreibung

Portrait

Neha Sharma is a AI and data science crusader who advocates its application for achieving sustainable goals, solving societal, governmental and business problems as well as promotes the use of open data. She has more than 25 years of experience and presently working with Tata Consultancy Services and is a Founder Secretary, Society for Data Science. Prior to this she has worked as Director of premier Institute of Pune, that run post-graduation courses like MCA and MBA. She is an alumnus of a premier College of Engineering and Technology, Bhubaneshwar and completed her PhD from prestigious Indian Institute of Technology, Dhanbad. She is a Senior IEEE member, ACM Distinguished Speaker and was Secretary – IEEE Pune Section for the year 2021 and 2022. She is an astute academician and has organized several national and international conferences and published several research papers. She is the recipient of “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” at National Level. Recently, she has received the Golden Book Awards 2023 for the book titled “Towards Net-Zero Targets: Usage of Data Science for Long-Term Sustainability Pathways”. She is a well-known figure among the IT circle, and well sought over for her sound knowledge and professional skills. Neha Sharma has been instrumental in integrating teaching with the current needs of the Industry and steering students towards their bright future.



Seema Purohit has a Ph. D. (Mathematics) from the University of Mumbai and, PGDBA (Information Technology and Financial Management) from MIT and MBA (Information Technology Management) from Jaipur National University. With a rich experience of 33 years in the education field, she was shouldering the responsibility of Principal, Deccan Education Society’s Brihan Maharashtra College of Commerce (BMCC)(Autonomous), Pune. Presently she is working as Professor Emeritus for B.K. Birla College under Birla Group of Institutions.



Mrityunjoy Panday is a trailblazer in the field of artificial intelligence and machine learning, currently serving as the Principal Architect in AI/ML and the Advanced AI Competency Lead at Cognizant Technology Solutions Corporation. Mr. Panday's professional journey is marked by his innovative approach to complex AI challenges and his leadership in various groundbreaking projects. In his role as a Senior Architect in AI since January 2021, Mr. Panday has led and designed multiple AI initiatives. His work encompasses a broad spectrum of applications, including time series analysis, reinforcement-based causality, natural language processing applications, and quantum hardware optimization. His expertise in GPT3, Codex, and automated scientific writing highlights his ability to merge cutting-edge AI technologies with practical applications.



Rachna Yogesh Sable is an accomplished academic and researcher with a Ph.D. in Computer Science from Bennett University (2024) and more than 17 years of teaching, research, and leadership experience. She is currently serving as Assistant Professor and Head of the Department for Artificial Intelligence and Machine Learning at GH Raisoni College of Engineering & Management, Pune. Her primary research interests include Artificial Intelligence, Machine Learning, Deep Learning, Predictive Analytics, and their applications in domains such as stock market forecasting, medical imaging, and generative AI. She has authored and co-authored numerous research papers in reputed journals and conferences, contributed a book chapter with IGI Global, and holds patents and copyrights in AI/ML-enabled systems.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.12.2026

Abbildungen

XI, 392 p. 141 illus., 134 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

392

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-34733-6

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Frugal, Strategic, Societal Scale and Agentic AI, Volume 2
  • 1. Satellite-Enabled Artificial Intelligence Framework for Rice Crop Yield Prediction.- 2. A Hybrid IoT-AI System for Autonomous Management of Indoor Hydroponic and Aeroponic Plant Cultivation.- 3. Determination of Optimal Approach by Comprehensive Evaluation of Noise Reduction Methods for Acute Lymphoblastic Leukemia and its Sub Types.- 4. Synthetic Indology Foundations for AI Ethics: A Type-Theoretic Framework for Multicultural AI Governance.- 5. Predictive Health Informatics Model Using Artificial Intelligence for Pilonidal Sinus and Fistula Care.- 6. A Vision Transformer-Based Framework for Multi-Class Classification of Alzheimer's Disease Using Magnetic Resonance Imaging.- 7. Traffic Safety Automation: Helmet Monitoring and License Plate Recognition.- 8. NLP-Based Mental Health Intentions Predictions Using Machine Learning Models.