Mastering the Modified Dietz Method for Investment Returns

Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...
IEEE

Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...
Investopedia

Discount Rate Defined: How It's Used by the Fed and in Cash-Flow Analysis

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

Blue-Giant/PIELM_Numpy

To address the sensitivity of parameters and limited precision for physics-informed extreme learning machines(PIELM) with common activation functions, such as sigmoid ...
GitHub

Deep Reinforcement Learning Examples

This repository contains tutorials and examples I implemented and worked through as part of Udacity's Deep Reinforcement Learning Nanodegree program. The tutorials implement various algorithms in ...