Four short links: 29 September 2017
Self-Funding, Floating Point, Tech Careers, and Directed Graphs
All Articles
US EPA: Digital transformation through data science
Robin Thottungal discusses the EPA's digital transformation and how it's leading to a better understanding of the interdependencies between our air, water, land, and public health.
A tale of two cafeterias: Focus on the line of business
Tanvi Singh asks: Do long-standing, non-Internet companies have the evidence-driven culture and platforms needed to get benefits from big data tools?
How IoT and machine learning keep America truckin’
Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling
The real project of AI ethics
Joanna Bryson says AI's main threat is not that it will do anything to us, but that we'll use it to predict and manipulate our behaviors.
Human-AI interaction: Autonomous service robots
Manuela Veloso provides an overview of the CoBot mobile service robots and their symbiotic autonomy, which lets the robots ask for help to overcome their limitations.
Your data is being manipulated
danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.
WTF? What’s the future and why it’s up to us
Tim O'Reilly says entrepreneurs need to set their sights on how we can use big data, sensors, and AI to create amazing human experiences and the economy of the future.
Four short links: 28 September 2017
Deep Learning, Knowledge Base, Algorithm Transparency, and Formal Methods
Highlights from Strata Data Conference in New York 2017
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata Data Conference in New York 2017.
Journey to consolidation
Cesar Delgado joins Mike Olson to show how Apple is using its big data stack and expertise to solve non-data problems.
White collar crime risk zones
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that predicts financial crime at the city-block level.
The age of machine learning
Ben Lorica discusses the state of machine learning.
Wild, wild data: Adventures with big data and the IoT in the Angolan highlands
Jer Thorp talks about swimming upstream to the point where data becomes data.
Music, the window into your soul
Ever wondered how Spotify seems to know what you want? Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business.
Data science for the most vulnerable at UNICEF Innovation
Manuel García-Herranz explains how to apply advances in data science, complex systems, artificial intelligence, and computational sociology to help the most vulnerable.
Four short links: 27 September 2017
Vespa Server, Open Source Chip, Tinder's Data, and New SDR Hardware
Four short links: 26 September 2017
Metric Pitfalls, Big Data, Data Analysis, and Startup Advice