Blog

Adventure planning and decision-making using KMeans clustering

2019-10-12

3 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 more

A deep dive in gradient boosting with LightGBM

2019-09-02

10 min read

Fredrik Olsson

A closer look at lightgbm, the mathematics behind gradient boosting and survival prediction for titanic passengers.

Read more

NLP: Gaining insights from text reviews

2020-03-19

12 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 more

NLP: Deep learning for relation extraction

2018-12-04

9 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.

Read more

Introduction to Monte Carlo simulations and option pricing

2019-11-26

9 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 more

Pricing 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 more

Göteborgsvarvet Part 1 - Introduction & General analysis

2019-11-08

9 min read

Oskar Handmark

Göteborgsvarvet Part 1 - Introduction & general analysis of runners' finish times

Read more

Göteborgsvarvet 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 more

Göteborgsvarvet 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 more

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 more
Locations

Lund

Sockerkokaregatan 21

222 36 Lund

Sweden

Copyright © 2021
Backtick Technologies

Backtick Technologies