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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Bayesian Inference: From World Cup To Financial Market

 The article was written by Hieu Nguyen, a Financial Analyst at I Know First.  

Summary:

  • Basic Understanding about Bayes’ Theorem
  • Bayesian Inference and World Cup
  • Financial application of Bayesian inference
Bayes’ theorem and Bayesian inference has long been an interesting topic for all of the mathematician and data scientist. It seems to be a very difficult topic and difficult to apply in real world. However, this article will walk you through basic concepts of Bayesian inference and how it can be applied in both soccer and financial world.

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