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