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Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI https://arxiv.org/abs/2201.00650

The page written by Sebastian Ruder gives An overview of gradient descent optimization algorithms

Dissecting Reinforcement (Part 1 starts here) gives a very good intro to the subject using materials from Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, and Reinforcement Learning: An Introduction by Richard S.

Understanding Random Forests: From Theory to Practice https://arxiv.org/abs/1407.7502

Documentation Official Python 3 Documentation - “official” PEP 8 - Style Guide for Python Code Textbooks Dive Into Python survey of Python syntax, datatypes, etc. Think Python by Allen Downey - general overview of the Python language.

Wu, N., Green, B., Ben, X., & O’Banion, S. (2020). Deep transformer models for time series forecasting: The influenza prevalence case. In arXiv. https://arxiv.org/abs/2001.08317 Lim, B., Arık, S., Loeff, N., & Pfister, T.

Interpret machine learning models using the idea of Shapley value, decomposition of a model, a pay-off concept from cooperative game theory.

Cao, S. S., Jiang, W., Yang, B., & Zhang, A. (2020). How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3683802 https://www.

Traditional time series econometric forecasting methods often provide poor macro forecasts. Machine learning methods provide an alternative to traditional forecasting techniques. This post provides an ongoing collections of methods and applied works of the related topics.