https://kaus.dev/Recent content on kaus.devHugo -- gohugo.ioen-usOliver Kaus - All rights reservedSun, 03 Dec 2023 11:12:00 +0200https://kaus.dev/static/aboutme/Sun, 03 Dec 2023 11:12:00 +0200https://kaus.dev/static/aboutme/Hello again! I have given a quick introduction in the intro section. Here I want to provide a bit more detail. Professional Background I work as a Research Data Scientist at Meta (Facebook).https://kaus.dev/unpublished_blog/06_radhelden_project/Mon, 17 Apr 2023 11:17:14 +0200https://kaus.dev/unpublished_blog/06_radhelden_project/I will provide more details about the project soon. You can find the link to the website here.https://kaus.dev/projects/00_tennalytix_introduction/Wed, 10 Nov 2021 11:39:10 +0200https://kaus.dev/projects/00_tennalytix_introduction/Introduction In my master thesis project at Imperial, I worked with tennis tracking data of professional players that was not publicly available. Analytics in tennis was lacking behind compared to other sports due to limited data access.https://kaus.dev/projects/01_track_pixel_positions/Tue, 09 Nov 2021 11:39:10 +0200https://kaus.dev/projects/01_track_pixel_positions/Introduction The goal of this blog post is to describe how I tracked the player and tennis ball pixel locations using deep learning models and how I set this up to run for multiple tennis videos.https://kaus.dev/projects/02_tkinter_gui/Mon, 08 Nov 2021 11:39:10 +0200https://kaus.dev/projects/02_tkinter_gui/Introduction In this third blog post, I will describe how I built a user interface with the Python interface library Tkinter. The goal of this interface was to visually inspect player and ball predictions and overwrite predictions where the model went wrong.https://kaus.dev/projects/03_create_3d_data/Sun, 07 Nov 2021 11:39:10 +0200https://kaus.dev/projects/03_create_3d_data/Introduction In this blog post I describe how I converted 2d pixel data points into 3d space. I highlight how I converted the 3d data points into 3d space.https://kaus.dev/projects/04_tennalytix_dashboard/Sat, 06 Nov 2021 11:39:10 +0200https://kaus.dev/projects/04_tennalytix_dashboard/Introduction We have been able to generate ball and player tracking using deep learning and some transformations to 3d space. But how can we generate actionable insights for professional tennis players?https://kaus.dev/blog/02_best_software_engineering_practices/Fri, 08 Oct 2021 11:39:10 +0200https://kaus.dev/blog/02_best_software_engineering_practices/Image by pxhere.com Introduction There are some well-established practices in the software engineering community that are less established in the Data Science world. Now that the Data Science community is maturing, these practices get more important in Data Science.https://kaus.dev/blog/01_online_courses/Thu, 07 Oct 2021 11:17:14 +0200https://kaus.dev/blog/01_online_courses/Image by pxhere.com Introduction The online courses that I have completed are the following: AWS Certified Solutions Architect - Associate by Linux Academy Machine Learning Engineer Udacity Nanogree by Udacity Machine Learning DevOps Engineer by Udacity (in progress) I will provide a summary and evaluation and outline key learnings from these courses taking a Data Scientist lense.https://kaus.dev/unpublished_blog/04_computer_science_conversion/Sun, 07 Oct 2018 11:39:13 +0200https://kaus.dev/unpublished_blog/04_computer_science_conversion/Draft