Data Science Research on Machine Learning, Deep Learning, NLP, & More

Song Lyrics Across the United States

Blog Data Visualization Research Researchposted by Julia Silge June 20, 2017

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics... Read more

Third batch of notebooks for Think Stats

Blog Research Statisticsposted by Allen Downey June 4, 2017

As I mentioned in the previous post and the one before that, I am getting ready to teach Data Science in the spring, so I am going back through Think Stats and updating the Jupyter notebooks. I am done with Chapters 1 through 9 now. If you are reading the book,... Read more

Time Series Analysis with Generalized Additive Models

Blog Predictive Analytics Researchposted by Algobeans.com June 1, 2017

Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time—we are... Read more

Factorization Machines for Recommendation Systems

Blog Research Statistics Machine Learning|Pandas|TensorFlowposted by Kevin Altamirano Zubiria May 31, 2017

As a Data Scientist that works on Feed Personalization, I find it it important to stay up to date with the current state of Machine Learning and its applications. Most of the time, using some of the better-known recommendation algorithms yields good initial results; however, sometimes a... Read more

Introduction to Evaluating Classification Models

Blog Data Visualization Modeling Research Business|classification|Predictive Analyticsposted by Diego Arenas, ODSC May 26, 2017

In this post we will describe how to evaluate a predictive model. Why bother creating complex predictive models if 5% of the customers will churn anyway? Because a predictive model will rank our clients based on the probability that they will abandon the company. It helps answer these... Read more

Do Resampling Estimates Have Low Correlation to the Truth?

Modeling Research Statisticsposted by Max Kuhn May 13, 2017

The Answer May Shock You. One criticism that is often leveled against using resampling methods (such as cross-validation) to measure model performance is that there is no correlation between the CV results and the true error rate. Let’s look at this with some simulated data. While... Read more

Hacking My Pandora Data With Unsupervised Learning

Data Wrangling Modeling Research Statisticsposted by George McIntire, ODSC April 21, 2017

This is a two-part series about using machine learning to hack my taste in music. In this first piece, I applied unsupervised learning techniques and tools on Pandora data to analyze songs that I like. The second part, which will be published soon, is about using supervised on... Read more

United Airlines and Data Technologies to avoid “Turbulence”

Data Visualization Modeling Research Statistics Data Journalismposted by Diego Arenas, ODSC April 13, 2017

It wasn’t an overbooking problem. United Airlines was trying to move four flight crew members to the next airport. They forced passengers to get off the plane with the consequences we saw on the video from last Sunday, but don’t take our word for it. Let’s talk... Read more

Cognitive Machine Learning (1): Learning to Explain

Deep Learning Modeling Predictive Analytics Research Statistics Machine Learningposted by Shakir Mohamed April 8, 2017

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

Markov Bot or Twitter Twit?

Blog Modeling Research Statistics AIposted 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