Choice Computing: Machine Learning and Systemic Economics for Choosing / Intelligent Systems Reference Library Bd.225 (PDF)
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This book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects - one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products - help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.
Parag's machine learning ideas resulted in pioneering products and have become commercially successful and produced unprecedented impact. He delivered over one thousand keynote addresses and 200+ tutorials across the globe. Over 1000 institutes and 10,00,000+ professionals benefitted from Parag's talks, research and systemic consultations. Parag helped underperforming professionals, start-ups and students to transform into happy and passionate warriors. Fellow of the IET, IETE, and senior member IEEE, Parag is recipient of Oriental Foundation Scholarship, distinguished alumnus award WCE - Sangli and was nominated for prestigious Bhatnagar award in 2013 and 2014. He was also awarded IETE-KR Phadke award for innovative entrepreneurship and research in 2019.
Parag has published over 300+ research papers and articles in peer reviewed journals and renown conferences. He invented over a dozen patents and authored 14 books (with world's best technical and business publishers like Bloomsbury, IEEE, Wiley, Prentice Hall, Springer, Oxford University Press, etc.). His book YD - YearDown portrays interesting perspective on education and was adapted for a TV serial by Sony TV by well-known movie director Sameer Patil. His poem collection was specially appreciated by one of the greatest romantic poets of all
Parag was the first PhD guide in Computer Engineering at COEP - Pune University (The second oldest technical institute in the country) and has guided 20 PhD candidates. He has over 30 years of experience in technologies, product building and applications of AI and ML to different verticals. In the past, he headed research divisions of many companies including Siemens (India & Germany), IDeaS (US and India) , ReasonEdge (Singapore) , Capsilon, etc. As an AI consultant he helped to build game changing products for companies like Envestnet, Tech Mahindra, UST Global, Agrisk, Tata Consumers etc. He founded start-ups iKnowlation - India, Kvinna Limited New Zealand and created social value through innovation and research. Parag is a prolific speaker and is associated with many technical and B-schools of repute like IITs, IIMs, Tokyo Int. University Japan and Masaryk University, Brno - Czech Republic etc. He has been taking special efforts and working closely with remote technical institutes in Maharashtra to inculcate research, thinking and entrepreneurship skills among students, faculties and researchers. He is a pioneer of concepts of Systemic Machine Learning, Reverse Hypothesis Machine Learning, Context Vector Machines and Choice computing. He has helped as AI and ML consultant and innovation strategist to over two dozen organizations in Singapore, US, Japan and India and contributed to their success stories. He worked on social good and developed over a dozen products in health care and education domains with focus on creating value at Bottom of Pyramid.
- Autor: Parag Kulkarni
- 2022, 1st ed. 2022, 235 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811940592
- ISBN-13: 9789811940590
- Erscheinungsdatum: 28.08.2022
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- Größe: 4.83 MB
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