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Data Science

Data Scientist at a Startup or a Small Company

As opposed to the companion post about data science in a corporate, let’s talk now about the data science life at a startup or small company, that is, a company with less than 100 employees. A startup has, by definition, an untested business model: the company runs on seed money and may or may not […]

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Data Science

Working as a data scientist in a corporate

Thanks to my work in universities and corporate training, I often get to chat with young people interested in working as data scientists. I decided to put together a couple of articles concerning my experience in both corporates and startups. Hopefully this could be useful to someone. First of all, what do you mean by […]

Categories
Data Science

Beyond model metrics: confusion matrix and parity plots

There are many metrics for assessing the “quality” of a machine learning model, depending on whether one is dealing with a regression or a classification task. There is RMSE, MAPE, R2 for regression, for instance, and AUC, ROC scores for classification. However, I find it very hard and unbelievable that one can only rely on […]

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Data Science

Is Deep Learning a valuable skill?

Many online courses and universities promote deep learning courses and bootcamps. This enthusiasm goes also to business decision makers and investors. And then, there comes the push to incorporate deep learning / artificial intelligence / machine learning models at all costs. For someone transitioning to data science, is deep learning a valuable skill to invest […]

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Data Science Startups

Should you go to a startup in your first job as data scientist?

Startups are all the rage these days, and many people are attracted by some of the benefits: lots of toys in the office, possibility of remote work, flexibility and an informal office culture. This is all fine and well but it comes to a cost. Does that mean you should go to a startup in […]