Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

Top 5 Essential Machine Learning Libraries for Financial Engineering
Latest   Machine Learning

Top 5 Essential Machine Learning Libraries for Financial Engineering

Last Updated on July 26, 2023 by Editorial Team

Author(s): Anil Tilbe

Originally published on Towards AI.

Five machine learning libraries, with one being the most important library, to use for financial engineering use cases

This member-only story is on us. Upgrade to access all of Medium.

By vedanti from Pexels

Python is a versatile language for financial engineering; you will stumble upon countless libraries available that can be used for this purpose. In my illustration, I will discuss what I find as the top five essential machine learning libraries in Python for financial engineering.

In the past, financial engineering has been heavily reliant on traditional statistical methods. However, machine learning is providing new ways to model and predict financial data. Machine learning is important for financial engineering because it can handle nonlinear relationships between inputs and outputs,… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓