Personal thoughts about economics and technology.
The city of Hannover is one of my favorite cities in Germany. A university town with about 540 thousand inhabitants, it is known for Horses and shares a lot of history with the UK since George III, the King of Great Britain, also became King of Hannover after defeating Napoleon.
When you think of accounting, you probably think of a staid profession. Of old men in dusty offices and nothing ever changing. You might also think of an industry ripe for AI disruption, with millions of people only waiting to get replaced.
First, acknowledge the obvious: The last post on this blog is from 2019. Most of the other posts here are about Uni. Some are still pretty good! Others maybe less so.
Lessons learned in Explainable AI If you work in machine learning, you most likely have heard of Explainable AI (XAI). Stakeholders (businesses, regulators, patients, etc.) will usually not trust a black black box algorithm. They want an explanation for how the algorithm made its decisions. This is a hard problem, as ML algorithms can not speak for themselves and tend to be incredibly complex.…
Why business needs causal inference This post is an ad. Not for a product, but for a method. Causal inference has made large strides in the last few years. It has arrived at a point, where business analysts can reason about and determine causal effects by following a few simple rules. Much of the causal inference literature is focused on medicine and public health. Economics has a long tradition…
Studying has been my primary occupation for 17 years now. First primary- then high-school, later undergrad and now graduate level university, all meant that I spent the bulk of my time studying. And over time, I began tweaking with the process, trying to decrease the time I needed to learn a new thing while increasing how well I could learn things. The process still changes and keeps evolving, but…
Being long time curious about the future of education and MOOCs, I have taken a lot of online classes. In some ways, what I learned in online classes has become more relevant to my career in data-science than what I learned in college. One portal that I was pretty curious about is Udacity . For those unfamiliar, Udacity offers MOOCs on technical topics from data science to flying cars. It aims to…
I have been thinking about a market for signals predicting security payoffs for a while. Interestingly, there was not really one, until regulators tried to force the industry to create one with MIFID II, which did not really work. There is however a fairly big market for data which can be mined into signals. This is a sketch of a model aiming to explain why there data market looks the way it does,…
This post is meant to share my summaries efficiently with my classmates. If you are coming to this webpage not knowing what the MFE is: It is an MSc Program in Financial Economics, and these notes are study notes for the core exams of the degree. They are written by me, not part of the MFE, not endorsed by Oxford University or the Saïd Business School and do not fully reflect the content taught in…
How to safely fish in a sea of noise This article previously appeared on medium