Learning from AlphaGo
If there's anything humans should learn from AlphaGo, it's that our survival depends on constantly looking at the data.
If there's anything humans should learn from AlphaGo, it's that our survival depends on constantly looking at the data.
The "sharing economy" has nothing at all to do with sharing.
Watch full keynotes covering progressive web apps, the state of JavaScript, online accessibility, and more. From the O'Reilly Fluent Conference in San Francisco 2016.
One investor’s retrospective of data analytics over the last 25 years.
The what, where, when, and how of unbounded data processing.
Roadmaps should be driven by business goals, not technology.
How variables like job title, location, tools, and tasks affect salary and other compensation.
How to spot a Next:Economy company.
Using induction to test your hypotheses
A lot of young artists are building brand equity and audience, but fame doesn't equal money and you can't eat brand equity.
The crisis of reproducibility is an opportunity to get better at doing science.
Autonomous systems and focused startups among major changes seen in past year.
The Programmer's Oath is missing one essential element: the customer.
The revolution in automation is fueling biology at scale.
True insights require a measurable action plan and domain knowledge.
A bridge between robust control and reinforcement learning.
How an algorithm is to a data scientist what a compound microscope is to a biologist.
Speakers at the Next:Economy Summit explored the future of business and work. Check out highlights from the second day of the event.