This expert-led learning event will equip participants with the practical skills and knowledge to effectively use Python in a variety of financial risk settings. Participants will explore the many ...

Using machine learning, professionals in the financial industry can employ statistical models to draw insights from their data to make strategic decisions, solve financial problems and increase profit ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

This course introduces a range of computational problems in financial markets and illustrates how they can be addressed by using tools from machine learning. In particular, portfolio optimisation, ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Machine learning has taken over the discussion on technology. Here are 4 books that cater to everybody on their journey to better understanding machine learning.

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

The second half of the course introduces modern finance problems involving topics such as hedging and pricing; portfolio dynamics and optimization; and high-frequency data. The curriculum then covers ...