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“The Power and Limits of Deep Learning” with Yann LeCun

Deep Learning (DL) has enabled significant progress in computer perception, natural language understanding, and control. Almost all these successes rely on supervised learning, where the machine is required to predict human-provided annotations, or model-free reinforcement learning, where the machine learns policies that maximize rewards. Supervised learning paradigms have been extremely successful for an increasingly large… Read more »

Andrew Ng on Building a Career in Machine Learning

This talk was streamed as part of ACM Learning Webinars: https://learning.acm.org/webinars Experience a supercharged video viewing experience with Table of Content (ToC) and Phrase Cloud, powered by VideoKen.

Risk Management in Hospitals

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Webinar: Building Apps on NetApp’s ONTAP Cloud

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Automated Data Tiering in the Cloud with NetApp

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“Communicating with the New Machine” with Kristian J. Hammond

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“What Can Kotlin Do for Me?” with Hadi Hariri

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“Is Blockchain a Branch of AI?” with Toufi Saliba

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“Computing for Disasters,” with Robin Murphy

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“HTP-NLP: A New NLP System for High Throughput Phenotyping,” with Peter Elk

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