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Practical examples throughout make this an essential reference for developers and engineers building intelligent systems; the comprehensive coverage from foundational principles of deep learning and Transformers to advanced, state-of-the-art topics like agentic frameworks, reasoning, and multimodal systems makes it serve as a textbook for students, and a strategic framework for policymakers navigating the AI landscape.
Miquel Noguer i Alonso is a seasoned financial professional and academic with over 30 years of experience in the industry. He is the Founder of the Artificial Intelligence Finance Institute, Head of AI at Captide, and Head of Development at Global AI. His career includes roles such as Executive Director at UBS AG and CIO for Andbank. He has served on the European Investment Committee UBS for a decade. He is on the advisory board of FDP Institute and CFA NY.
Mr. Noguer is also an academic, teaching AI, Big Data, and Fintech at institutions like NYU Courant Institute, NYU Tandon, Columbia University, and ESADE. He pioneered the first Fintech and Big Data course at the London Business School in 2017. He is the author of 100 papers on Artificial Intelligence.
He holds an MBA and a Degree in business administration from ESADE, a PhD in quantitative finance from UNED, and other prestigious certifications. His research interests span asset allocation, machine learning, algorithmic trading, and Fintech. He recently authored the books Artificial Intelligence in Finance (Risk Books) and Quantitative Portfolio Optimization (Wiley).
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Take 20% off your first order
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