Machine Learning, Unsupervised Learning, Data Science, Artificial Intelligence, Clustering.
science-driven mindset; unsupervised algorithms. As a quick recap, I started this series with the idea that in order to be an effective data scientist we need to be able to translate real problems into data science problems. And most data science problems can be reframed in one of 5 different ways.