In our last post, we compared the three most common methods used to set return expectations prior to building a portfolio. Of the three—historical averages, discounted cash flow models, and risk premia models—no single method dominated the others on...

Modern AI tools have made it very easy to build robust customized chatbots. In the third part of this series on chatbots, we take a closer look at AI based chatbots and learn to build one using a popular library in Python.

In this great tutorial for PyCon 2020, Eric Ma proposes a very simple framework for machine learning, consisting of only three elements: Model Loss function Optimizer By adjusting the three elements in this simple framework, you can build any type of machine learning program. In the tutorial, Eric shows you how ...

Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

A/B testing is a method of comparing two versions of some thing against each other to determine which is better. A/B tests are often mentioned in e-commerce contexts, where the things we are comparing are web pages. Business leaders and data scientists alike face a difficult trade-off when ...