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I’ve mentored about 165 projects during the last five years at the companies where I work. The people who built those project all got jobs (mostly). The more I talk to companies interviewing today, the more apparent it is: A portfolio project is decisive when making hiring judgments. Jeremy Howard recommends it. Andrew Ng recommends …

HandySpark is a new Python package designed to improve PySpark user experience, especially when it comes to exploratory data analysis, including visualization capabilities.

Have you ever wondered the workflow behind getting such a pizza delivered to your home? I mean, the full workflow, from the sowing of tomato seeds to the bike rider buzzing at your door! It turns out, it is not so different from a Machine Learning workflow.

Photo by G. Crescoli on Unsplash Originally posted on Towards Data Science. Introduction If you are training a binary classifier, chances are you are using binary cross-entropy / log loss as your loss function. Have you ever thought about what exactly does it mean to use this loss function? The thing is, given the ease of …

Photo by Immo Wegmann on Unsplash Originally posted on Towards Data Science. Introduction In my previous post, I invited you to wonder what exactly is going on under the hood when you train a neural network. Then I investigated the role of activation functions, illustrating the effect they have on the feature space using plots and …

Introduction This is the first of a series of posts aiming at presenting visually, in a clear and concise way, some of the fundamental moving parts of training a neural network: the hyper-parameters. Originally posted on Towards Data Science. Motivation Deep Learning is all about hyper-parameters! Maybe this is an exaggeration, but having a sound …