In the previous article, we have explored how we can use BERT with ML.NET for the question and answering NLP task. In this article, we explore another kind of NLP task – Sentiment analysis. This type of analysis is used to determine if some textual data is...
So far, in our ML.NET journey, we were focused on computer vision problems like Image Classification and Object Detection. In this article, we change a direction a bit and explore NLP (Natural Language Processing) and the set of problems we can solve with machine...
So far in our journey through Machine Learning with ML.NET, we used different machine learning algorithms to solve various tasks. Usually, at the end of each tutorial, we showed some metrics that determine how well the algorithms performed, but we haven’t...
In one of the previous articles, we explored image classification as one of the most common computer vision problems. However, this type of problem is not applicable to more complex projects, like let’s say self-driving cars. Problems from the real world usually...
It is always fun and educational to read deep learning scientific papers. Especially if it is in the area of the current project that you are working on. However, often these papers contain architectures and solutions that are hard to train. Especially if you want to...
From Netflix, Google, and Amazon, to smaller webshops, recommendation systems are everywhere. In fact, this type of system represents probably one of the most successful business applications of Machine Learning. Their ability to predict what users would like to read,...
