Tableau & SQL – Visual Analysis
This blog post is a result of our collaboration with the University of Padua, wherein the student Prarthana Ashokmayagappa played a significant role in selecting the
Ilaria Petreti
July 19, 2023
How to Import Pandas in AWS Lambda
In this blog post, you will learn how to import the Pandas library in AWS Lambda in order to execute python scripts.
Ilaria Petreti
November 7, 2022
Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
Ilaria Petreti
September 13, 2022
Train and Test Sets Split for Evaluating Learning To Rank Models
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
Ilaria Petreti
July 20, 2022
How to Deal with Too Many ‘object’ in Pandas from JSON Parsing
We propose and test a way to manage categorical data during the collection and store it directly as numeric types in the JSON.
Ilaria Petreti
March 30, 2022
Drop constant features: a real-world Learning To Rank scenario
Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
Ilaria Petreti
June 16, 2021
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
