Conferencesposted by Alex Amari Jun 11, 2018
Cathy O’Neill, bestselling author of ‘Weapons of Math Destruction,’ on the promises and perils of algorithms in everyday life at ODSC East 2018
Conferencesposted by Alex Amari Jun 5, 2018
Agile Data Science Insights from ODSC East 2018
Conferencesposted by Heather Domin Jun 4, 2018
Visualization throughout the data science workflow with Lindsay Brin, PhD, Data Scientist at T4G Limited at ODSC East 2018
Conferencesposted by Kaylen Sanders, ODSC May 24, 2018
ODSC East 2018 – Open Source Data Science Project Award Winner : the Chainer Framework
Conferencesposted by ODSC Team May 17, 2018
Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind discusses best practices for building strong data science teams at ODSC East 2018
Career Insightsposted by Alex Amari May 16, 2018
What I Enjoyed Most at ODSC East 2018
Conferencesposted by Kristen Kehrer May 14, 2018
Modelingposted by Mark van Rijmenam Jun 26, 2018
Partition numbers and Ramanujan’s approximation
Modelingposted by John Cook Jun 25, 2018
Talking About Clinical Significance
Modelingposted by John Mount Jun 22, 2018
New Approximate Nearest Neighbor Benchmarks
Modelingposted by Erik Bernhardsson Jun 21, 2018
Stirling Numbers, Including Negative Arguments
Modelingposted by John Cook Jun 20, 2018
Why NLP is a Great First AI Solution for Businesses
Modelingposted by Alex Amari Jun 19, 2018
A Different Use of Time Series to Identify Seasonal Customers
Modelingposted by Kristen Kehrer Jun 18, 2018

Learn more about the state of human capital in the world of data science and business and best practices for building a data science company from Drew Conway, PhD, Founder and CEO of Alluvium and Cofounder of DataKinda from his talk at ODSC East 2018.

Machine learning and AI models now outperform humans on tasks ranging from image recognition to language translation. However, sending video, audio, and other sensor data up to the cloud and back is too slow for apps like Snapchat, features like “Hey, Siri!”, and autonomous machines like self-driving cars. This talk outlines why developers should be deploying deep learning models to the edge, common roadblocks they will face, and how to overcome them.
Accelerate AIposted by Alex Amari Jun 26, 2018
Beyond IoT: Building Decentralized, Intelligent Infrastructure
Accelerate AIposted by Matt Turck Jun 15, 2018
Pythonposted by Matthew Rocklin Jun 21, 2018
New Version of ggplot2
Rposted by Ari Lamstein Jun 20, 2018
Emojis, Java and Strings
Toolsposted by Daniel Lemire Jun 19, 2018


























