tmulc18

GetFast | Founding Engineer | Bay Area / Remote

We're on a mission to simplify running through wearables data. We're a small team of runners who love to build.

We're looking for a founding engineer to shape the future of our product and company. You’ll work across the stack–from building reliable, scalable systems to rapidly prototyping and launching new user-facing features. You’ll have significant ownership and influence on architecture, product direction, and engineering culture.

Ideally you love a few of the following: - Foundation ML models in the sensory space - Chat agents - Novel data visualizations - Recommendation systems - Operations research - Unique UX

https://getfast.ai/jobs

https://getfast.ai/strava/login Using transformers to understand fitness data

We trained a model on sensor data to learn useful patterns for predicting running race performances.

gwern is goated

Would be more fun (even if you call it "easy mode") if you had the alphabet at the top of the page! Took me 17 tries to get "prepare" but I had a lot of mistakes because I forgot what came after what in the alphabet.

2.5 years of learning tensorflow now gone to waste :(

In the caption for figure 2 there is this quote, "Notice the humans are worse at transcribing the non-American accents." But when I look at the bar graph, I see the word error rates of the model is much higher than the word error rates of humans for most of the non-American accents. Am I missing something?

That's why you gotta use Expedia or Google

Really cool article. It still seems like jupyter is the better longterm option because it offers so many different kernels.

It's much easier now since people have had time experimenting with hyperparameters. But I've never implemented deep dream so idk how difficult that is