With the rapid development of artificial intelligence technology, neural networks have been widely used in the financial investment field. Beginners who are interested in neural network investing can learn the relevant knowledge through free online courses and open source code resources on Github. This article summarizes some high quality free online course platforms and Github repository resources to help beginners quickly get started with neural network investing.
Coursera and Udacity have free online courses for neural network investing
On the online course platforms like Coursera and Udacity, there are many free courses that teach beginners how to use neural networks for investment analysis and trading strategy development. For example, the course “AI for Trading” offered by New York University on Coursera covers topics like using Keras and TensorFlow to build neural network models for trading signals generation. Udacity’s “Artificial Intelligence for Trading” Nanodegree program also provides project-based curriculum for students to apply deep learning techniques in quantitative trading strategies.
Open source Github repositories provide code samples for neural network models
In addition to online courses, many engineers and researchers have open-sourced their neural network investment projects on Github. These repositories contain reusable code samples and models for stock price prediction, portfolio optimization, risk management and more. By studying these projects, beginners can gain hands-on experience on developing and evaluating neural network-based trading systems. Some popular repositories include “Deep-Trading” (implementing LSTM for market trend prediction) and “Alphalens” (analyzing predictive factors for algorithmic trading) .
Join online communities to exchange ideas and practices for neural network investing
While learning from online courses and Github code, it’s also important for beginners to join online communities in this field. On platforms like Reddit, Quora and StackOverflow, there are many active discussion threads related to using neural networks in investing and trading. By communicating and collaborating with professionals and peer learners, beginners can better consolidate their knowledge, share practical experiences, and explore more advanced topics.
With abundant free online learning resources and open-source community support, beginners nowadays have great opportunities to pick up neural network techniques for investment analysis. Practical projects and peer learning will accelerate beginners building up hands-on experience in this rising AI application domain.