Machine Learning for Designers
This report introduces contemporary machine learning systems, but also provides a conceptual framework to help you integrate machine-learning capabilities into your user-facing designs.
This report introduces contemporary machine learning systems, but also provides a conceptual framework to help you integrate machine-learning capabilities into your user-facing designs.
Data for Change, Computational Economy, Programming Language Usability, and Against Dashboards
CS Research, Secrecy vs. Innovation, Computational Creativity, and Bot Design Patterns
Column Database, Routing Engine, Farm Algebra, and AWS Resources
AI for Social Good, Bot Intent, Privilege and Overwork, and Securing Cloud Servers
A survey of the bot landscape and the opportunities it affords the Next:Economy.
Combat Robots, Bricklaying Robots, Automation with Application, and American iPhone
The essential parts of an Infrastructure as Code platform.
Google's TPP Meh, Inflation or Deflation, Drone Delivery, and All-American iPhones
Architectural Debt, Bot Summit, Emoji Learning, and Hysteria History
Surgical Robot, Tango Phone, Flying Cars, and Product Process
Basketball Robot, Reasoned Discourse, Github for Teachers, and Companion Species Fiction
Little Data, Decentralised Web, Testing Distributed Systems, and Mastering Programming
Radio Future, Open Source Productivity, Maturity Models, and Engineering Principles
How focusing on communication, teams, and innovation can help you transform your company.
A lot can happen in biotechnology with plain old organisms.
Intelligence Follows Data, Shell Style, Moral Robots, and Artificial Kidney
Watch full keynotes covering AI, data science, data tools, and more. From Strata + Hadoop World in London 2016.