Doing good data science
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
DNA Neural Nets, Ethics of AI, Oblivious Search, Physical Products
REST vs. GraphQL, Chinese Sources, Popcorn Robots, and (Human) Learning Research
Programming Language Ideas, Probability in Language, React Tutorial, and Open Plan Pain
Engagement, Leadership, Code Viz, and Automation
Automation and Employment, Matrices for Deep Learning, Tim Berners-Lee, and How to Read
Soft Robots, Debugging Serverless, Map Privacy, and Building Footprints
Stereotype Framework, Humanoid Robots, Dark Patterns, and Retro Terminal Emulator
Migrating Storage, Secure Coding, Barbie Roboticist, and Internet Developments
Value Judgements, Bank Hacking, SDR for Engineers, and Licensing Bugs
It’s easy to imagine an AI winning a game of Go, but can you imagine an AI wanting to play a game of Go?
Tracking Dots, Stuff That Matters, Reputation, and Pen Testing
Distributed Geodata Processing, Wheel 2.0, Programming Paradigms, and Origami Library
To-Do Lists, Startup Numbers, Learning Projects, and Data Structure Synthesis
Chinese Internet, Booting Linux, Pull Requests, and Commercialized Commons
We need to build organizations that are self-critical and avoid corporate self-deception.
Open Source, Milspec Origami, Machine Says No, and Golang
Product Feedback, Medical AI, DensePose, and Automating Debugging