In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolution...
First days after the celebration of the New Year is the time when looking back we can analyze our actions, promises and draw conclusions whether our predictions and expec...
Originally posted here. From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal...
Call it a “Forrest Gump moment;” an instance of being in the right place at the right time for no other reason than just plain luck. A “Forrest Gump moment” is ...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Imagine it’s 1994 and the dawn of the internet. In many ways, it is. Entrepreneurs are once again laying the rails for a new digital world. And, just like the fi...
How machines process and understand human language Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our to...
Not all these contributions were from 2018, but the few selected below were among the most visited in 2018. Some were heavily featured, so it does not mean that they repr...
This article was written by Kevin Hartnett. The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that th...
In a previous post, I have provided a discussion of model stacking, a popular approach in data science competitions for boosting predictive performance. Since then, the ...