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A recent trend in Deep Learning are Attention Mechanisms. In an interview, Ilya Sutskever, now the research director of OpenAI, mentioned that Attention Mechanisms are one of the most exciting advancements, and that they are here to stay. That sounds exciting. But what are Attention Mechanisms?... Read more
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
The American political season often conjures numerous references to the country’s origins from either side of the aisle. What better way to join in than by looking at the country’s birth using Data Science, the field that will dictate much of its future. I’ll do this... Read more
Google’s TensorFlow framework spread like wildfire upon its release. The slew of tutorials and extensions made an already robust ecosystem even more so. Recently, Google released one of their own extensions. It’s called SyntaxNet, a TensorFlow based syntactic parser for Natural Language Understanding. SyntaxNet uses neural... Read more
All the beauty of the internet age comes with its fair share of ugliness. Recently, a deluge of articles highlighting the dark side of Twitter has raised concerns for its future. As great as it is to engage with others on a variety of topics, as... Read more
Social media has fundamentally changed the way in which we interact with each other, and with the World Wide Web. Our web activities are now inherently social. We can keep in touch with close friends on facebook without ever needing to pick up a phone or... Read more
Natural Language Processing (NLP) is one of the most interesting areas of Data Science. From analysis of the political arena, to organizing meetings, and forming the bedrock of the dream of strong A.I, training computers to truly understand the nuances of human language is part of... Read more
Abstract: Attendees will learn the foundations of text mining approaches in addition to learn basic text mining scripting functions used in R. The audience will learn what text mining is, then perform primary text mining such as keyword scanning, dendogram and word cloud creation. Later participants... Read more
The recent Republican and Democratic debates drew unprecedented amounts of viewers and the usual lot of controversies and soundbites in the media. Each debate deeply impacted future polls, subsequent fundraising, and the composition of the race. In our polarized media landscape, ensuing political analysis always suffer... Read more