Publishers need to take responsibility for code they run on my systems.
Mike Loukides is Vice President of Content Strategy for O'Reilly Media, Inc. He's edited many highly regarded books on technical subjects that don't involve Windows programming. He's particularly interested in programming languages, Unix and what passes for Unix these days, and system and network administration. Mike is the author of System Performance Tuning and a coauthor of Unix Power Tools. Most recently, he's been fooling around with data and data analysis, languages like R, Mathematica, and Octave, and thinking about how to make books social. Mike can be reached on Twitter @mikeloukides and on LinkedIn.
The ability to appeal may be the most important part of a fair system, and it's one that isn't often discussed in data circles.
We need a new model for how AI systems and humans interact.
It’s time to think about how the systems we build interact with our world and build systems that make our world a better place.
Use cases and tips to help businesses take full advantage of AI technology.
Since AI's most amazing advances have been in playing games, it seems fitting that the creative challenge should involve creating games.
Thoughts on "We are the people they warned you about."
Scale changes the problems of privacy, security, and honesty in fundamental ways.
What you need know before committing to AI.
Understanding the impact and expanding influence of DevOps culture, and how to apply DevOps principles to make your digital operations more performant and productive.
It's time to stop cursing the network we have and build the network we want.
It's time to rally in defense of the internet again.
It’s pretty easy to grasp the concept, but it’s a tricky algorithm to implement.
An algorithm that generates Bézier curves using an increasing number of control points.
An AI-first strategy will only work if it puts the user first.
An algorithm for rubber-banding random points.
To succeed in digital transformation, businesses need to adopt tools that enable collaboration, sharing, and rapid deployment. Jupyter fits that bill.
Ring stacking games. With computers.
A new role focused on creating data products and making data science work in production.
Nothing says machine learning can't outperform humans, but it's important to realize perfect machine learning doesn't, and won't, exist.