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Modeling
Attention and Memory in Deep Learning and NLP

Attention and Memory in Deep Learning and NLP

Deep LearningModelingNLP/Text Analyticsposted by Denny Britz December 27, 2016

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

Kaggle FIFA Stats

BlogData VisualizationStatisticsSports Analytics|statisticsposted by Gordon Fleetwood November 12, 2016

The phenomenon of the “yearly sports game release” is a well established tradition in the videogame industry. The biggest is, perhaps, the FIFA franchise, reigning supreme leader in its niche, simulated soccer, for most of its over twenty year history. EA Sports released the latest iteration,... Read more

Markov Bot or Twitter Twit?

BlogModelingResearchStatisticsAIposted by Gordon Fleetwood November 9, 2016

The meaning of Artificial Intelligence (A.I) changes depending on whom is speaking. Right now the most prominent instantiation of A.I is the chatbot. Technology’s biggest companies and plucky startups allocate resources to make chatbots more impressive, but they really haven’t broken into the mainstream yet. From... Read more

Pokémon Go Data

BlogData VisualizationData WranglingAugmented Reality|data|Data analysis|Lifeposted by Gordon Fleetwood September 12, 2016

Editor’s Note: If you’re anything like me, stubbornly loyal to Pokémon Red, now trying to catch up to the cool kids post Poképocalypse, you’ll find this exploration worth a share. About a month ago Pokémon Go, Niantic’s mobile augmented reality game based on the popular franchise,... Read more
Deutsch Credit Future Telling: part 2

Deutsch Credit Future Telling: part 2

BlogData VisualizationNLP/Text AnalyticsPredictive Analyticsclassification|Data Science|Predictive Analyticsposted by Gordon Fleetwood August 22, 2016

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

Deutsch Credit Future Telling: part 1

BlogNLP/Text AnalyticsPredictive Analyticsclassification|Data Science|Predictive Analyticsposted by Gordon Fleetwood August 17, 2016

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 Sentiment Behind The Declaration of Independence

The Sentiment Behind The Declaration of Independence

BlogNLP/Text AnalyticsResearchData Science|Machine Learning|NLP|sentiment analysisposted by Gordon Fleetwood August 5, 2016

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

A Decade of Statehood Stability

BlogData Science for GoodData VisualizationData Science|Data Science for Good|Data Visualizationposted by Gordon Fleetwood July 27, 2016

The Fund for Peace is a non-profit organization dedicated to preventing violence worldwide. One of their initiatives is the Fragile States Index (F.S.I), a yearly ranking of the stability of countries around the world. Each ranking is the sum of twelve factors rated on a scale... Read more

Google SyntaxNet

BlogNLP/Text AnalyticsPlatformsToolsNatural Language Processingposted by Gordon Fleetwood June 21, 2016

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

Understanding Principal Component Analysis

BlogModelingStatisticsData Science|Machine Learning|principal component analysis|unsupervised learningposted by Gordon Fleetwood June 16, 2016

No one can master every algorithm. However, there is a basic toolbox that every Data Scientist understands and uses. One of the algorithms in this toolbox is Principal Component Analysis – P.C.A for short. It is an unsupervised learning technique used in many different fields to... Read more
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