Deep Learning and Neural Networks for Financial Engineering
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Brief Introduction
Expand your machine learning toolkit to include deep learning techniques, and learn about their applications within finance.
Description
Deep Learning ventures into territory associated with Artificial Intelligence. This course will demonstrate how neural networks can improve practice in various disciplines, with examples drawn primarily from financial engineering. Students will gain an understanding of deep learning techniques, including how alternate data sources such as images and text can advance practice within finance.
Knowledge
- By the end of this course students should be able to:
- utilize neural network and deep learning techniques and apply them in many domains, including Finance
- make predictions based on financial data
- use alternate data sources such as images and text and associated techniques such as image recognition and natural language processing for prediction
- use these techniques and data for
- optimizing portfolios and portfolio management
- managing risk
- streamlining operations
Python: Step into the World of Machine Learning
- 2.9
-
![]()
![]()
![]()
![]()
![]()
Apply your existing Python skills to the highly lucrative fields of machine learning and deep learning. Are you looking at improving and extending the capabilities of your machine learning systems?...
TensorFlow: Artificial Intelligence with TensorFlow: 3-in-1
- 3.6
-
![]()
![]()
![]()
![]()
![]()
Begin your journey to build next-generation AI models from scratch with TensorFlow and create your own machine learning Contents and Overview...
Advanced Predictive Techniques with Scikit-Learn& TensorFlow
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Improve the performance predictive models, build more complex models and use techniques to improve quality of your predi We explore topics that will help you answer such questions....
Introduction to Trading, Machine Learning & GCP
- 4
-
![]()
![]()
![]()
![]()
![]()
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. Experience with SQL is recommended....
