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

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Why we love it:

Another fascinating application of graph theory

Ben Jack

Designing neural networks through neuroevolution

Nature Medicine

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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

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Why we love it

In defense of data science generalists...

Ben Jack

Learning Discrete Structures for Graph Neural Networks

Cornell University

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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

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Why we love it:

Fascinating exploration of work on interpretability and trust in AI.

Meredith Butterfield

AI For Everyone

Coursera

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Why we love it

New AI course from Andrew Ng!

Ben Jack

Understanding LSTM Networks

Independent Contributor

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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

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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

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Why we love it:

Great recent podcast episode on a critical challenge we should all be thinking about.

Ben Jack

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