Author Archive
For more on deep learning, consider attending the inaugural Deep Learning World, June 3-7 2018 in Las Vegas. Proposals to speak currently also being accepted. Originally published in IEEE Spectrum It’s likely that your car says something about you. The make and model, whether it’s foreign or domestic, and how expensive it is can provide information about who
Transitioning from academia to industry in Data Science can be a daunting task. The sheer breadth of available tools can make it difficult to figure out where to start with learning Data Science skills, and which are...
By Emil Mikhailov and Roman Trusov
Originally published in ycombinator.com Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them to give pretty much any result...
By: John Schwarz, CEO of
Visier
Since time immemorial, human beings have puzzled over, and been fascinated by dualities: yin and yang, thought and action, strategy and execution. As CEO of Visier, a company that helps business leaders use data to answer critical...
By: Rajendra Originally published in Houseofbots.com As artificial intelligence (AI) works its way into mainstream business practices, various different applications are coming up in conversations about how to best leverage the technology. In observing these conversations, I...
Originally published at Talent Analytics, Inc. 1. Identify a business problem to solve. Almost everyone working on modern predictive analytics discusses the need for a defined business problem before engaging in a predictive project. And yet, the...
The debate on this topic is not a new one. What is the secret sauce in yielding improved modelling performance? Is it the inputs, features or variables of a given predictive model or is it the specific...
In anticipation of his upcoming conference presentation, Leveraging Alternative Data Sources to Gain a Critical Competitive Advantage at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked Stephen Morse, Adviser at Neudata,...
In anticipation of their upcoming conference presentation, Improving Credit Scoring with Hierarchical Bayesian Modeling at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked Dongyang Fu and Wen Shi, Data Scientists at...
In anticipation of his upcoming conference presentation, Using Mileage Logs to Predict Successful Sales Behavior at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Ron Cowan, Founder at Snowforce Data, a few...
