Voice translate assistants like Google Home, Siri, Alexa and other similar platforms are now commonplace. However, for the most part, these device are limited to question and answer type exchanges and not conversational. The next big focus for machine translation is dialog systems that go beyond Q&A. At ODSC Europe 2017 we sat down with […]
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 sort of questions are you […]
As the practice of data science and AI evolves and permeates all aspects of society, the need to understand its impact increases. In this wide ranging interview, Professor Neil Lawrence, Director of Machine Learning at Amazon Research, touches on a number of thought provoking topics. Neil discusses the need for a set of best practises […]
Okay. So, give us a little preview of the talk and the sort of the topics you’re hitting. Basically what it is, is over the course of the past twenty or thirty years, we’ve been having these problems where you have a computer, it’s connected to a network, suddenly people start uploading porn, and people […]
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 clarity. Give us a recap […]
In this interview with ODSC, Aparna and Hisham delve into term modeling and logistic regression at Dow Jones.
In this interview with ODSC, Dave explains the meaning behind Exaptive, and how his company facilitates “a-ha” moments. He also discusses some other high level topics, including how data science building blocks come together in an application that facilitates an end user’s cognitive process.
In this interview with ODSC, Rob shares some details about Maxpoint’s new open source Python package for bayesian logistic regressions. View Rob’s talk here.
In this interview with ODSC, Juliet explains how she solves problems at Cloudera using PySpark, and why she chooses PySpark.