DuckDB - Quacking Data (WIP)
DuckDB is particularly well-suited for Online Analytical Processing (OLAP) tasks, which involve analyzing large datasets to gain insights and generate reports. Its columnar storage format and vectorized query engine enable fast and efficient data processing, even on complex analytical queries. Additionally, DuckDB supports a variety of OLAP-specific features, such as window functions, making it a powerful tool for OLAP workloads.
Building Actionable Insights from Yelp Reviews using Setfit
Setfit: Efficient few-shot learning with Sentence Transformers is a way to train models to perform new tasks with very little data. In this blog I use SetFit to create value for restaurant owners by finding reviews that are helpful and contains improvements applicable to the restaurant using Yelp Dataset.
Probabilistic Forecasting Made Simple
While researching probabilistic forecasting in a client project I managed to find a paper which opens the door to any neural network with dropout - which is the majority. That is, we can do probabilistic forecasting with essentially any network!
Timeseries Learnings at AFRY
Sharing knowledge based on working a lot with timeseries
Decomposing & Working with Time Series (Time Series #1)
In this post/Jupyter Notebook we’ll look at Time Series and theory surrounding them.
Object Detection (Workshop)
How to do object detection using Transformers?
Transfer Learning (Presentation)
What is Transfer Learning? Can I have the cake and eat it too?
TIL: ‘The Badass Runtime Plugin’, jpackage & jlink - create a ‘native’ installable executable from your JVM-app that isn’t huge
‘The Badass Runtime Plugin’ is a plugin that allows you to package a stripped down JRE and modules from your program into a ‘native’ installable program which doesn’t require the user to have Java installed. It takes help of JPackage & JLink to achieve this, my own small program ended up at 35 MB including JRE, which is pretty crazy. This is like Electron, but better! ;)
