If you read our digests, you already know that each week, we publish our picture of the week. Below is a selection from the last few months. By clicking on the link asso...
Guest blog post by Christopher Dole and other contributors, originally posted here. Created by SoothSayerAnalytics. Deep Learning is one of the most revolutionary an...
Big data and its conjoined twin analytics are the business buzzwords of the decade to be sure — and for good reason. Because of advances in technology and computing, we...
Guest blog by Sebastian Raschka, originally posted here. If we tackle a supervised learning problem, my advice is to start with the simplest hypothesis space first. I....
Guest blog post by Martijn Theuwissen, co-founder at DataCamp. Other R resources can be found here, and R Source code for various problems can be found here. A data sc...
Summary: Will Automated Predictive Analytics be a boon to professional data scientists or a dangerous diversion allowing well-meaning, motivated but amateur users try t...
Originally posted on :Linkedin It’s a known fact that bagging (an ensemble technique) works well on unstable algorithms like decision trees, artificial neural netwo...
This article was written by Sara Roberts. As Co-Founder and Principal Consultant at Category One Consulting (C1C), Sara is committed to helping organizations maximize th...
We frequently get questions about whether we have chosen all the right parameters to build a machine learning model. There are two scenarios: either we have sufficient at...
According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorit...