Come See Our Talk on MATLAB and TensorFlow: 3 Ways to Enhance TensorFlow with MATLAB
Shounak Mitra, MathWorks’ Product Manager for Deep Learning Toolbox, will be presenting “everything but the training” at ODSC on Thursday, May 2nd at 2 PM in Room 202. Here are some of the highlights of the talk and why you should attend. In AI and deep learning workflows, a... Read more
Properly Setting the Random Seed in ML Experiments. Not as Simple as You Might Imagine
Join Comet at Booth 406 in the ODSC East Expo Hall. We will also be speaking at ODSC: – April 30, 9 am — A Deeper Stack for Deep Learning: Adding Visualizations + Data Abstractions to your Workflow (Douglas Blank, Head of Research) – May 2, 2:15 pm... Read more
Deep-Text Analysis for Journalism
The challenges faced by traditional media companies in the digital age are well-documented and numerous. Massive layoffs of journalists, shrinking subscription rolls, and termination of the print editions of many smaller newspapers clearly indicate changing consumer preferences. In order to stay relevant, or even solvent, traditional outlets will need... Read more
Searching for a Data Colander for Automatic Data Cleaning
Editor’s note: The following is an article written by Devavrat Shah of MIT and Christina Lee Yu of Cornell University. Be sure to check out their presentation at ODSC East 2019, “Predictions in Excel through Estimating Missing Values”.” The stated mission of Data Science or Data-Driven AI is to... Read more
Data Science + Design Thinking: a Perfect Blend to Achieve the Best User Experience
  It’s one thing to rely on artificial intelligence, machine learning, and big data to make your product smarter.  And, quite another to build a product that’s so intuitive and easy-to-use that your customer falls in love with it. That’s the beauty of data science + design thinking. It’s... Read more
How LinkedIn Navigates Streams Infrastructure Using Cruise Control
The past decade has witnessed a growing adoption of automation and artificial intelligence (AI) in various industries. This trend helped companies optimize their custom workflows in a cost-efficient manner, avoid the missed deadlines, and enhance the quality of life of its consumers. Naturally, these benefits have boosted the popularity... Read more
Good, Fast, Cheap: How to do Data Science with Missing Data
When doing any sort of data science problem, we will inevitably run into missing data. Let’s say we’re interviewing 100 people and are recording their answers on a piece of paper in front of us. Specifically, one of our questions asks about income. Consider a few examples of missing... Read more