This article was written by Prakarsh Saxena. In a world where each of us is surrounded by data and its insights, Data Science does seem a… Read More »Python Data Science Handbook- An essential handbook for Python enthusiasts
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 demand.… Read More »Extreme Event Forecasting at Uber – with Recurrent Neural Networks
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… Read More »Microsoft CNTK Tutorial: Build a Neural Network with Python
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,… Read More »PCA with Rubner-Tavan Networks
This article was written by Jim Frost. The standard error of the regression (S) and R-squared are two key goodness-of-fit measures for regression analysis. While R-squared… Read More »Standard Error of the Regression vs. R-squared
This article was written by Madison from PeopleMaven I came across this piece that talks about interesting articles that might be helpful for data scientists… Read More »Best Data Science Books and Articles For Your Career
This article was written by Jean-Marc Valin. This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main… Read More »RNNoise: Learning Noise Suppression with Deep Learning
This article was written by Denny Britz. In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the… Read More »Implementing a Neural Network from Scratch in Python – An Introduction
This article was written by Ray of RayOnStorage Blog. Original title: Compressing information through the information bottleneck during deep learning. Read an article in Quanta Magazine about… Read More »Deep Learning And The Information Bottleneck
This article was written by Jon Krohn. At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the… Read More »Deep Learning for Natural Language Processing: Tutorials with Jupyter Notebooks
