RESOURCES WE LOVE
Cut through the hype with this curated collection of Valkyrie-recommended articles, resources and thought leaders to help you navigate the burgeoning field of data science.
RESOURCES
RAPIDS cuGraph
Medium
Why we love it:
Another fascinating application of graph theory
Ben Jack
Designing neural networks through neuroevolution
Nature Medicine
Why we love it:
If we ever get to AGI, I think it will be evolved from the bottom up, not designed from the top down...
Ben Jack
Beware the data science pin factory: The power of the full-stack data science generalist and the perils of division of labor through function
MultiThreaded
Why we love it
In defense of data science generalists...
Ben Jack
Learning Discrete Structures for Graph Neural Networks
Cornell University
Why we love it:
Advancements in ML over the next 10 years will be dependent on the advancement of GNNs
Charlie Burgoyne
A New Approach to Understanding How Machines Think
Quanta Magazine
Why we love it:
Fascinating exploration of work on interpretability and trust in AI.
Meredith Butterfield
AI For Everyone
Coursera
Why we love it
New AI course from Andrew Ng!
Ben Jack
Understanding LSTM Networks
Independent Contributor
Why we love it:
An elegant introduction to RNNs and a common application
Charlie Burgoyne
Your Deep-Learning-Tools-for-Enterprises Startup Will Fail
The Launchpad
Why we love it:
This article makes a clear case for why productizing data science services is challenging.
Ben Jack
The Credibility Crisis in Data Science (with Skipper Seabold)
DataFramed
Why we love it:
Great recent podcast episode on a critical challenge we should all be thinking about.
Ben Jack