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ODSC East Interviews: Kishore Aradya
The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. The interview has been condensed and edited for clarity. This interview is with Kishore Aradya, , whose talk was entitled “From the Trenches: Managing and Building Data Science Teams?”   What... Read more
Deep Learning Research Review Week 3: Natural Language Processing
This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on applying deep learning to Natural Language Processing. The last post was Reinforcement Learning and the post before was Generative... Read more
The Chatbot Landscape, 2017 Edition
To help decision makers and users wade around the vast landscape of bots, this landscape gives a high-level overview of providers and tools.   Why this landscape, now? Since we started building bots more than 2 years ago, the landscape has seen massive interest and change. This makes it hard for... Read more
The Last 5 Years In Deep Learning
Introduction As we’re nearing the end of 2017 (and coincidentally the first day of NIPS 2017), we’ve come to the 5 year landmark of deep learning really starting to hit the mainstream. For me, I think of AlexNet and the 2012 Imagenet competition as the coming out party (although researchers have definitely been working in... Read more
Data Visualization – Part 2
A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be using it throughout the rest of this series. Knowing how it works will keep the focus on the results rather than... Read more
On the Hard and Soft sides of DS Teams, Interview with Kishore Aradya, DS and ML Leader at Adobe
Editor’s Note: We’ve have a series of expert perspectives coming your way in podcast form from ODSC EU, and ODSC West.  Check out the growing archive here, or plan to jump ahead at ODSC East 2018 and meet them. The following Q&A is part of a series of interviews conducted with... Read more
Making sense of facts, numbers, and measurements is a form of art – the art of data visualization. There is a load of data in the sea of noise. To turn your numbers into knowledge, your job is not only to separate noise from the data, but also to present it... Read more
Aedin Culhane on Big Genetic Data, and the Bioconductor Project
The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. This interview is with Aedin Culhane, Computational Biologist at the Dana-Farber Cancer Institue, whose talk was entitled “R and Bioconductor in Cancer Research –  Big Data in Genomics”. The... Read more
ODSC East Interviews: Shir Meir Lador
The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. This interview is with Shir Meir Labor, Lead Data Scientist at Bluevine, whose talk was entitled “Fraud Detection Challenges and Data Skepticism. The transcript has been edited condensed and edited for... Read more
Object detection: an overview in the age of Deep Learning
There’s no shortage of interesting problems in computer vision, from simple image classification to 3D-pose estimation. One of the problems we’re most interested in and have worked on a bunch is object detection. Like many other computer vision problems, there still isn’t an obvious or even “best” way to approach... Read more