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The latest blog articles from Backtick.

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Machine Learning

Predicting the Premier League top scorers

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

Fredrik Olsson

Data Scientist

Machine Learning

Detecting snow and cloud patches in satellite images

Blog/SnowAndClouds/Cover

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

Fredrik Olsson

Data Scientist

Machine Learning

NLP: Gaining insights from text reviews

Natural Language Processing

03 Mar 2020

An overview of different techniques for aggregated analysis of text data using Natural Language Processing.

Fredrik Olsson

Fredrik Olsson

Data Scientist

Machine Learning

Göteborgsvarvet Part 3 - Finish time prediction

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

Oskar Handmark

Founder & Venture lead

Statistics

Pricing financial options using Monte Carlo simulations

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

Fredrik Olsson

Data Scientist

Statistics

Introduction to Monte Carlo simulations and option pricing

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

Fredrik Olsson

Data Scientist

Machine Learning

Göteborgsvarvet Part 2 - Pace analysis and feature engineering

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

Oskar Handmark

Founder & Venture lead

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