Three different ML architectures for real-time inference in PythonMany MLOps frameworks can encourage architectures that won’t offer the best performance and cost when it comes to deploying your model. In…Sep 14Sep 14
Strokes, Strikes and Shots: Modelling their Impact on Expected PointsMeasuring the performance of players is hugely valuable in many areas of sports analytics as comparing a player’s live performance against…Jun 15Jun 15
Spark Structured Streaming under 3 seconds latency for the Ryder CupIn this article I’ll take you through the transformations and latency optimisations I learnt whilst building a spark structured streaming…May 24May 24
Published inCognizant ServianHelping AI understand team sports with BigQueryIn this article I’ll walk you through the SQL statements that I used to preprocess GPS sport data for machine learning. The aim was to…Nov 30, 20201Nov 30, 20201
Published inCognizant ServianQuerying real time video with serverless MLCan you imagine having to shift through thousands of hours worth of video footage to find 10 or 20 seconds worth of valuable information…Aug 26, 2020Aug 26, 2020
