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

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsnano.5c00239. List of the comprehensive material features used in this ...

As financial crime risks evolve, including those risks posed by the use of AI and other emerging technologies, so too must firms’ financial crime compliance response. It is unsurprising, therefore, ...

PyBank is a python script to analyse a budget CSV to understand changes in financial variables (profit, net change, sum, etc) over time. PyPoll is a python script to analyse election data in a CSV to ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

In recent years, machine learning and artificial intelligence algorithms have been utilized in solving many fascinating problems in different fields of science, including neuroscience. In this ...

Machine learning (ML) has become increasingly important in the world of quantitative finance, as financial market players seek to leverage the latest technology to gain a competitive edge. By using ...

Abstract: This document focuses on building machine learning systems in Python, using tools such as Google Colab, Anaconda, and Scikit-Learn. Its goal is for readers to gain fundamental knowledge on ...