Remove trending-toward-concept-building-a-review-of-model-interpretability-for-deep-neural-networks
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Imagine a self-driving car piloted by an AGI.

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Model Interpretability with TCAV (Testing with Concept Activation Vectors)

Domino Data Lab

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? TCAV “uses directional derivatives to quantify the degree to which a user-defined concept is important to a classification result” ( Kim et al 2018 ). Introduction. indicate that.

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The Future of Data Science – Mining GTC 2021 for Trends

Domino Data Lab

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. I enjoyed mining this year’s talks for trends that foreshadow where our industry is headed. Theme 1: Expect deep learning APIs to get much smarter. Deep Learning Trends from GTC21.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Modernists and structuralists beware.