Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, ...
This article was written by Jean Francois Puget. What programming language should one learn to get a machine learning or data science job? That’s the silver bu...
Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged. Temporal Convolutional Nets (...
This article is by Nikolay Laptev, Slawek Smyl, and Santhosh Shanmugam. At Uber, event forecasting enables us to future-proof our services based on anticipated user dema...
I once posted about making use of narrative objects. In this blog, I will be discussing an algorithm that supports the creation of these objects. I call it my “Infe...
Guest blog by Keshav Dhandhania and Arash Delijani. In this article, I’ll talk about Generative Adversarial Networks, or GANs for short. GANs are one of the very few m...
Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it ...
This article was written by Andy at Adventures in Deep Learning. Fully connected neural network example architecture In previous tutorials on deep learning, I have taught...
This article is written by Giuseppe Bonaccorso. One of the most interesting effects of PCA (Principal Component Analysis) is to decorrelate the input covariance matrix C...
I originally wrote this article on LinkedIn. While there is a host of articles that focus on mechanics and methods in Data Science and Data Analytics, I believe the found...