Articles by Learning Machines

3.84 or: How to Detect BS (Fast)

October 6, 2020 | Learning Machines

In From Coin Tosses to p-Hacking: Make Statistics Significant Again! I explained the general principles behind statistical testing, here I will give you a simple method that you could use for quick calculations to check whether something fishy is going on (i.e. a fast statistical BS detector), so read ... [Read more...]

Network Analysis: Who is the Most Important Influencer?

July 28, 2020 | Learning Machines

Networks are everywhere: traffic infrastructure and the internet come to mind, but networks are also in nature: food chains, protein-interaction networks, genetic interaction networks and of course neural networks which are being modelled by Artificial Neural Networks. In this post, we will create a small network (also called graph mathematically) ... [Read more...]

Kalman Filter as a Form of Bayesian Updating

July 7, 2020 | Learning Machines

The Kalman filter is a very powerful algorithm to optimally include uncertain information from a dynamically changing system to come up with the best educated guess about the current state of the system. Applications include (car) navigation and stock forecasting. If you want to understand how a Kalman filter works ... [Read more...]

COVID-19: False Positive Alarm

June 23, 2020 | Learning Machines

In this post, we are going to replicate an analysis from the current issue of Scientific American about a common mathematical pitfall of Coronavirus antibody tests with R. Many people think that when they get a positive result of such a test they are immune to the virus with high ... [Read more...]

Thomas Ramge: Postdigital (Book Excerpt)

June 16, 2020 | Learning Machines

We are honoured to present to you an exclusive excerpt from digital thought leader and bestselling author Thomas Ramge’s new book Postdigital. Using AI to Fight Coronavirus, Foster Wealth and Fuel Democracy: In concrete terms, what would a postdigital world look like in which people — both individually and as ... [Read more...]

Learning R: Build a Password Generator

June 2, 2020 | Learning Machines

It is not easy to create secure passwords. The best way is to let a computer do it by randomly combining lower- and upper-case letters, digits and other printable characters. If you want to learn how to write a small function to achieve that read on! The exact task is ... [Read more...]

Learning Statistics: Randomness is a Strange Beast

May 26, 2020 | Learning Machines

Our intuition concerning randomness is, strangely enough, quite limited. While we expect it to behave in certain ways (which it doesn’t) it shows some regularities that have unexpected consequences. In a series of seemingly random posts, I will highlight some of those regularities as well as consequences. If you ... [Read more...]

Will AI become conscious any time soon?

May 12, 2020 | Learning Machines

We all know the classical Sci-Fi trope of intelligent machines becoming conscious and all the potential ramifications that could follow from there (free will, fighting their human creators, ethical dilemmas and so forth). Now, is this a realistic scenario? As a researcher in the area of AI (see e.g. ... [Read more...]

COVID-19: Analyze Mobility Trends with R

April 21, 2020 | Learning Machines

The global lockdown has slowed down mobility considerably. This can be seen in the data produced by our ubiquitous mobile phones. Apple is kind enough to make those anonymized and aggregated data available to the public. If you want to learn how to get a handle on those data and ... [Read more...]
1 2 3 4 5 7

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)