Reference request for AI / deep learning for finance

Question

Are there any particular references that are recommended for learning about AI / deep learning and how to apply them to quant finance?

I have written programs that price options, done sentiment analysis, SVM etc (to give an indication of my programming and mathematical background).

Thanks.

Answer 1

My all-round favourite for ML-in-Finance: "Advances in Financial Machine Learning" by M. de Prado (https://www.wiley.com/en-hk/Advances+in+Financial+Machine+Learning-p-9781119482086)

He doesn't spend so much time dealing with specific ML models, but talks about the unique challenges faced by financial data scientists and the ways to handle data, conduct strategy research and backtesting, and the style and techniques (labelling, bagging, metamodels...) to apply generic ML techniques in a financial setting.

My favourite introduction to Deep Learning: Hands-On Machine Learning with SciKit-Learn and TensorFlow

Intensive introduction to Neural Nets via Keras (the author created this library) and Tensorflow, with lots of Python code examples

My favourite pure-programming for Data Science-type problems: "Scala for Data Science" by P Bugnion

An immersive introduction to Scala with a focus on Data Science problems, and a focus on how to move products into production safely