“The first duty in life is to be as artificial as possible. What the second duty is no one has as yet discovered.” Oscar Wilde
Tag: <span>Machine Learning</span>

Transformer model Fine-tuning for text classification with Pytorch Lightning

The years 2018-2020 have been the start of a new era in the field of natural language processing (nlp). This means that today computers can understand humans much better.

We use the new capabilities to predict from a user’s app review in the Google Play Store the star rating that the same user gave to the app.

Knime – Multivariate time series

Intro: Knime is a  very powerful machine learning tool, particularly suitable for the management of complicated workflows as well as rapid prototyping. It has recently become yet more useful with the arrival of easy-to-use Python nodes. This is true because sometimes the set of nodes – which is large – …

Multivariate Time Series Forecasting with Neural Networks (3) – multivariate signal noise mixtures

In this follow up post we apply the same methods we developed previously to a different dataset. In this third post we mix the previous two datasets. So, on the one hand, we have noise signals, on the other hand we have innovators and followers.

Multivariate Time Series Forecasting with Neural Networks (1)

In this post we present the results of a competition between various forecasting techniques applied to multivariate time series. The forecasting techniques we use are some neural networks, and also – as a benchmark – arima. In particular the neural networks we considered are long short term memory (lstm) networks, and dense …

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