Derivatives pricing. Risk management. Machine learning in finance. These are the skills modern quants need. Build your expertise with IIM Ahmedabad.

Abstract: As digital payments become more prevalent across the globe, attacks have become more sophisticated, leading to an increase in financial fraud. Consequently, systems must be defended using ...

Abstract: In an increasingly climate-exposed financial system, understanding the relationship between environmental factors, economic conditions, and financial stability is essential. This study ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The convergence of machine learning (ML) and applied neuroscience continues to accelerate, driven by the synergistic demands of intelligent systems and deepening insights into the human nervous system ...

The syllabus is available here. Please read it carefully to understand all rules and expectations of this course. The content of the syllabus is tested in a quiz, to be completed by January 12, 11:59 ...

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...

This project implements an advanced machine learning pipeline for high-dimensional financial time series forecasting with comprehensive interpretability analysis. The system predicts next-day S&P 500 ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.