The latest blog articles from Backtick.
23 Feb 2024
In this blogpost, we will outline an approach to try and predict the top scorers in the Premier League for the season 2022/2023 using Machine Learning techniques and player data from previous seasons.
Fredrik Olsson
Data Scientist
07 Dec 2020
In this blogpost, we will look at how we solved the problem of detecting snow and clouds in real world satellite images using deep learning.
Fredrik Olsson
Data Scientist
03 Mar 2020
An overview of different techniques for aggregated analysis of text data using Natural Language Processing.
Fredrik Olsson
Data Scientist
24 Feb 2020
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.
Oskar Handmark
Founder & Venture lead
11 Feb 2020
In this blogpost we will dive into the world of finance, and specifically option pricing. We are going to illustrate how we can use Monte Carlo simulations to price financial options.
Fredrik Olsson
Data Scientist
26 Nov 2019
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.
Fredrik Olsson
Data Scientist
15 Nov 2019
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.
Oskar Handmark
Founder & Venture lead
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