Data Science Austria

Optimizing Jupyter Notebooks — A Comprehensive Guide

While we all know that premature micro optimizations are the root of all evil, thanks to Donald Knuth’s paper “Structured Programming With Go To Statements” [1], eventually at some point in your data exploration process you grasp for more than just the current “working” solution. The heuristic approach we usually … Read moreOptimizing Jupyter Notebooks — A Comprehensive Guide

Use Unsupervised Machine Learning To Find Potential Buyers of Your Products

Let the algorithm learn by itself… Halong Bay in Vietnam What Is Unsupervised Machine Learning Welcome to my third post about Data Science! In my previous post I discussed how I used supervised machine learning to find donors for a charity. Recall that in supervised machine learning you have input variables (X) and … Read moreUse Unsupervised Machine Learning To Find Potential Buyers of Your Products

Problem solving with “AI Challenger Global AI Contest”

Experience from participating in computer vision competition hosted by Chinese data science platform AI Challenger Dec 31, 2018 In this article I will share my experience solving a video classification problem in a Chinese machine learning competition. There are a lot of data science platforms for competitors. We used to … Read moreProblem solving with “AI Challenger Global AI Contest”

Super SloMo fun. Or how you can make awesome YouTube videos with AI

Dec 31, 2018 Have you ever wondered how YouTubers or National Geographic make those super slow-motion videos? They’re so crazy cool it almost seems like magic! It used to be very expensive to create such a video. The only way to do it cleanly was with a super high-fps camera. … Read moreSuper SloMo fun. Or how you can make awesome YouTube videos with AI

Predicting Crash Severity for NZ Road Accidents

Feature Exploration (a.k.a EDA) The dataset has an initial total of 655,697 samples. Each with 89 different features, both numerical and categorical. Simply by reading the definition of each feature from the pdf mentioned above, we can see that there are some features whose values are derived from other features. These … Read morePredicting Crash Severity for NZ Road Accidents

How to use machine learning for anomaly detection and condition monitoring

Technical section: It is hard to cover the topics of machine learning and statistical analysis for anomaly detection without also going into some of the more technical aspects. I will still avoid going too deep into the theoretical background (but provide some links to more detailed descriptions). If you are … Read moreHow to use machine learning for anomaly detection and condition monitoring