Ajit Jaokar is a data scientist for Feynlabs, building AI prototypes for complex applications. He is also a course director for artificial intelligence at the University of Oxford. Besides this, Ajit is a visiting fellow in Engineering Sciences at the University of Oxford and conducts AI courses at the London School of Economics, Universidad Politécnica de Madrid, and the Harvard Kennedy School of Government as part of The Future Society.
His work at Oxford and his company is based on interdisciplinary aspects of artificial intelligence, including AI with digital twins, quantum computing, metaverse, Agtech, and life sciences. His teaching is based on a methodology for AI and cyber-physical systems, which he is developing as part of his research.
Ajit Jaokar
Tytuły autora: Ajit Jaokar dostępne w księgarni Ebookpoint
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AI-Assisted Coding and Machine Learning helps you build applications and ML models using prompts. Part 1 covers coding UI, backend, and web API. Part 2 offers a data science toolkit for preprocessing, feature engineering, training, and evaluation.-
- PDF + ePub 29 pkt
(125,10 zł najniższa cena z 30 dni)
29.90 zł
139.00 zł (-78%) -
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Causal Inference and Discovery in Python is a comprehensive exploration of the theory and techniques at the intersection of modern causality and machine learning. It covers fundamental concepts of Pearlian causal inference, explains the theory, and provides step-by-step code examples for both traditional and advanced causal inference and discovery
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- PDF + ePub 29 pkt
(107,10 zł najniższa cena z 30 dni)
29.90 zł
119.00 zł (-75%) -
