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6 trends framing the state of AI and ML

O'Reilly on Data

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. It’s hard to achieve a deep, experiential understanding of new technology without experimentation. They should respond to innovations in an agile way: starting small and learning by doing.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Here’s a video of an earlier version of her talk at NeurIPS 2017, and her related slides from ScaledML.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

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Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan

Occam's Razor

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. Intro to Machine Learning. Machine Learning. Deep Learning.

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