welcome

Machine Learning is everywhere, and it’s becoming increasingly difficult to keep up. At the same time, the fundamentals of actually taking a ML project from idea to working product haven’t really changed. When asked about when we were going to learn how to productionize the models so that people could use them, one of our deep learning teachers in college actually said, “That isn’t academically interesting, so we won’t be doing it.” We posit that it’s not only academically interesting, it’s necessary for any Data Scientist, Data Engineer, and Machine Learning Engineer to have a complete picture to boost their own work.