Bayesian Neural Networks: Bayes’ Theorem Applied to Deep Learning

  The article was written by Amber Zhou, a Financial Analyst at I Know First.

Highlights:

  • Vanilla Deep Learning Method: Multilayer Perceptron (MLP)
  • Introduction to Bayes’ Theorem
  • Application of Bayes’ Theorem: Bayesian Inference
  • Combination: Bayesian Neural Networks
  • How I Know First Utilizes Bayesian Neural Networks for Forecasting

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Bayesian Inference and I Know First’s Application

   


This article was written by Kwon Sok Oh, a Financial Analyst at I Know First.    




Summary

  1. Introduction of Bayesian Inference and BAC Example
  2. Prior Distribution: Concepts and BAC Example
  3. Likelihood Function: Concepts and BAC Example
  4. Posterior Distribution: Concepts and BAC Example
  5. Posterior Predictive Distribution: Concepts and BAC Example
  6. Conclusion of Discussion and BAC Example
  7. I Know First and Bayesian Neural Networks

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Stock Market Algorithm: What-If Analysis Response Modeling

taliTali Soroker is a Financial Analyst at I Know First.
Response Modeling

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