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Cognitive Machine Learning (1): Learning to Explain
Above is an image of the Zaamenkomst panel: one of the best remaining exemplars of rock art from the San people of Southern Africa. As soon as you see it, you are inevitably herded, like the eland in the scene, through a series of thoughts. Does it have a meaning?  Why are... Read more
How the Multinomial Logistic Regression Model Works
In the pool of supervised classification algorithms, the logistic regression model is the first most algorithm to play with. This classification algorithm again categorized into different categories. These categories purely based on the number of target classes. If the logistic regression model used for addressing the... Read more
How the Logistic Regression Model Works in Machine Learning
In this article, we are going to learn how the logistic regression model works in machine learning. The logistic regression model is one member of the supervised classification algorithm family. The building block concepts of logistic regression can be helpful in deep learning while building the... Read more
How to Build a “Fake News” Classification Model
“A lie gets halfway around the world before the truth has a chance to get its pants on.” – Winston Churchill Since the 2016 presidential election, one topic dominating political discourse is the issue of “Fake News”. A number of political pundits claim that the rise of  significantly biased... Read more
Deutsch Credit Future Telling: part 2
To continue on this first path, it’s logical to proceed with hyperparameter tuning on the three algorithms previously mentioned in part 1. Here the Random Forest Classifier (R.F.C) pulls ahead with 77% accuracy while the other two are still around 75%. Where there were three on... Read more
Classification tasks in Data Science come frequently, but the hardest are those with unbalanced classes. From biology to finance, the real-life situations are numerous. Before balancing your errors, establishing a baseline with the most frequent occurrence can give you over 90% accuracy right off the bat.... Read more
Bill Disch at ODSC Boston 2015
Modeling in the Healthcare Industry: A Collaborative Approach Modeling in the Healthcare Industry: A Collaborative Approach from odsc Evariant has partnered with, and are using DataRobot for multivariate predictive analytics because it is a flexible, robust, and extremely efficient tool for maximizing our modeling efforts, as... Read more
Machine-in-the-loop for Knowledge Discovery – Max Kleiman-Weiner ODSC Boston 2015
Machine-In-The-Loop for Knowledge Discovery from odsc I’ll present the new knowledge discovery tools we are building at Diffeo. Unlike traditional search engines that use keywords, Diffeo provides an in-browser knowledge base that accelerates information gathering about people, companies, chemical compounds, cyber events, or other real world... Read more
Data Science at Dow Jones: Monetizing Data, News and Information – Juan Huerta ODSC Boston 2015
Data Science at Dow Jones: Monetizing Data, News and Information from odsc In this presentation I will describe the way Data Science supports the business of information and news at Dow Jones. Specifically, I will describe how we are introducing innovative and advanced large-scale information mining... Read more
Building a Predictive Analytics Solution with Azure ML  – Fidan Boylu & Syed Fahad Allam Shah ODSC Boston 2015
Building a Predictive Analytics Solution with Azure ML from odsc Create and operationalize a predictive model using Microsoft Azure Machine Learning. –Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation... Read more