Securing Competitive Advantage with Machine Learning
Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade...
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13 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Cleantech in the News: Scraping and Analysis of Online Articles
Contributed by Thomas Kassel. He enrolled in the NYC Data Science Academy 17-week remote bootcamp program, taking place from January to April 2017. This post is base...
Machine-Learning with Renthop
Contributed by David Letzler, Kyle Gallatin and Christopher Capozzola They enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program tak...
18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
IBM Watson Does Your Taxes: Question Answering Machine versus Expert System
Summary: IBM’s Watson now to do your taxes at H&R Block? This is a good opportunity to explore the differences between Question Answering Machines (Watson) and ...
DSC Webinar Series: SPSS Statistics to Predict Customer Behavior
In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should b...
Advances in Machine Learning Research
This paper was written by Bojan Ploj. Bojan is interested in machine learning, specialy in MLP learning algorithms. Abstract During the last twenty years, gradient-bas...
What tomorrow’s business leaders need to know about Machine Learning?
Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Le...
Using RuleFit Ensemble Models Is About to Become Very Important
Summary: The drive toward transparency and explainability in our modeling seems unstoppable. Up to now that meant sacrificing accuracy for interpretability. However...