Archive of posts tagged: Measurements
Why Machine Learning Needs Benchmarks
It’s a marvelous time in computer systems. For me, working in Deep Learning feels like living through a scientific revolution. Kuhn described this kind of change in his classic book, where a new paradigm takes hold, causing entire fields to change their standard...
Kalman filtering without Bayesians and Gaussians (II)
This is the second of a multi-part post that introduces Kalman filtering in an accessible way to computer systems researchers. In the previous post, we described how two noisy estimates of a scalar quantity such as temperature can be fused using the optimal linear...
Kalman filtering without Bayesians and Gaussians
Kalman filtering shows us how to fuse noisy measurements.
Subscribe
