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Learning Center TechTalks Archive

2021

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The Essence of Software (Or Why Systems Often Fail by Design, and How to Fix Them) with Daniel Jackson
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Getting Started with Kubernetes with Nigel Poulton
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Machine Learning for Algorithm Design with Maria Florina Balcan
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Human Inspired Artificial Intelligence with Manish Gupta
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Quantum Computational Supremacy with Scott Aaronson
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Running Linux Apps on Windows: How and Why? with Scott Hanselman
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Turing Lecture 2021: Abstractions, Their Algorithms, and Their Compilers
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Learning from Data: The Two Cultures with Adji Bousso Dieng
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Learning Symbolic Equations with Deep Learning with Shirley Ho
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Horizontal Leadership: Practical Lessons for Driving Company-Wide Strategy and Action with Eve Andersson
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Democratizing AI: Creating Cognitive AI Assistants with No Coding with Michelle Zhou
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An Industry Perspective on What We Should Be Teaching Our Next Generation of Software Practitioners in the Universities with Paul McMahon
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The Four PEGS of Requirements Engineering with Bertrand Meyer
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Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions with Grigori Fursin
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Agent-Human Collaboration and Learning for Improving Human Satisfaction with Sarit Kraus
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ACM Queue Case Study Q&A: Always-On Time-Series Database with Theo Schlossnagle

2020

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Code Reviews - From Bottleneck to Superpower with Michaela Greiler
ACM TechTalks

How to Extract Meaningful Insights from Data

View the recent ACM TechTalk, "How to Extract Meaningful Insights from Data," presented by Angelica Lo Duca, Researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. Victor Yocco, UX Researcher at ServiceNow, moderated the questions and answers session. Continue the discussion on ACM's Discourse Page.

Image of Angelica Lo Duca