Predict Stock Prices Using RNN: Part 2
📰 Lilian Weng's Blog
Use RNN with embeddings to predict multiple stock prices
Action Steps
- Build a recurrent neural network using Tensorflow
- Use embeddings to represent multiple stocks
- Train the model on historical stock price data
- Evaluate the model's performance on a test dataset
Who Needs to Know This
Data scientists and AI engineers on a team can benefit from this tutorial to improve their stock price prediction models, and product managers can utilize these models to inform investment decisions
Key Insight
💡 Using embeddings allows the RNN to learn shared patterns across multiple stocks
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📈 Predict stock prices with RNN and embeddings!
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