Blog
Detecting snow and cloud patches in satellite images

2020-12-07
7 min read
Fredrik Olsson
In this post, we will take a look at our approach to solve the problem of detecting snow and cloud patches in real world satellite images during the Copericus Hackathon 2020.
Read moreNLP: Gaining insights from text reviews

2020-03-19
11 min read
Fredrik Olsson
A look at various NLP tasks one can perform on text reviews to extract different kinds of information using machine learning
Read moreGöteborgsvarvet Part 3 - Finish time prediction

2020-02-24
7 min read
Oskar Handmark
Göteborgsvarvet Part 3 - How to use machine learning to predict runner finishing times. We use a number of carefully engineered features to train multiple Ridge Regression models for half marathon finish time predictions at different stages of the race.
Read morePricing financial options using Monte Carlo simulations

2020-02-11
7 min read
Fredrik Olsson
A dive into the world of finance and specifically financial options. We will have a look at how these contracts can be priced using Monte Carlo simulations.
Read moreIntroduction to Monte Carlo simulations and option pricing

2019-11-26
8 min read
Fredrik Olsson
An introduction to Monte Carlo simulations - an important concept in mathematical statistics. To exemplify these concepts we will look at option pricing, so we will take a small dive into the financial world as well.
Read moreGöteborgsvarvet Part 2 - Pace analysis and feature engineering

2019-11-15
7 min read
Oskar Handmark
Göteborgsvarvet Part 2 - We use checkpoint data to learn about pace and hubris, and how we can use this to our advantage in feature engineering
Read moreGöteborgsvarvet Part 1 - Introduction & General analysis

2019-11-08
8 min read
Oskar Handmark
Göteborgsvarvet Part 1 - Introduction & general analysis of runners' finish times
Read moreAdventure planning and decision-making using KMeans clustering

2019-10-12
4 min read
Oskar Handmark
Adventure planning and decision-making using KMeans clustering. A post about solving a real everyday life problem by grouping people with similar wishes using data analysis and machine learning.
Read moreA deep dive in gradient boosting with LightGBM

2019-09-02
9 min read
Fredrik Olsson
A closer look at lightgbm, the mathematics behind gradient boosting and survival prediction for titanic passengers.
Read moreNLP: Deep learning for relation extraction

2018-12-04
8 min read
Oskar Handmark
In this post, we will be focusing on text mining and review analysis. We’ll roll our own neural network implementation for relation extraction.
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