Senior Research Fellowship in #MachineLearning for #Weather or #Climate at #UCL
RESEARCH
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Generational accountability: understanding future AI ethics impacts
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i wish that all generations would treat previous generations with indulgence. humanity is deeply imperfect. our grandparents did horrible things; our grandchildren will understand that we did horrible things we don’t yet understand.
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Our Collective Responsibility for Moral Progress Now
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the people who came before us are a complete package of good and bad, and collectively they pushed the world forward; it’s important to view the moral progress of society as an ongoing joint project we are all responsible for. now it’s our turn.
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Simone Giertz invited to Human-Robot Interaction Conference Stockholm
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@SimoneGiertz Hi Simone, looks like the Human-Robot Interaction @HRI_Conference in Stockholm is coming near you in a few weeks? Robots robots robots! If you want to drop by, let me know and I can get you a pass.
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AI Glossary: Overfitting, Underfitting, Bias, Variance Tradeoff
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff' hosts @rschmelzer & @kath0134 define these terms & explain how they relate to #AI. Full episode: https://
aidatatoday.com/ai-today-podca
st-ai-glossary-series-overfitting-underfitting-bias-variance-bias-variance-tradeoff/?utm_source=dlvr.it&utm_medium=twitter
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#data #bias #ML #tech -
MIT’s Introduction to Deep Learning: Complete Overview
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5. MIT's Introduction to Deep Learning This Course will give you a complete idea of Deep Learning, Computer vision and Natural Language Processing
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Linear Algebra Fundamentals for Machine Learning Overview
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4. Linear Algebra Get an overview of the important and basic concepts of Linear Algebra required for Machine Learning https://
ocw.mit.edu/courses/res-18
-010-a-2020-vision-of-linear-algebra-spring-2020/
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Statistics for Applications: Essential Concepts for Data Science
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3. Statistics for Applications Statistics plays a crucial role in Data Science. Learn the important stats concepts and their practical use cases. https://
ocw.mit.edu/courses/18-650
-statistics-for-applications-fall-2016
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Introduction to Data Science and Machine Learning Fundamentals
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2. Introduction To Data Science You'll learn about all the fundamental concepts of Data Science and Machine Learning. https://
ocw.mit.edu/courses/6-0002
-introduction-to-computational-thinking-and-data-science-fall-2016/
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Convex Optimization Comprehensive Resource PDF Available
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Received this morning! Convex Optimization is widely regarded as the most comprehensive resource on convex optimization. If you're interested, here's the full pdf version: https://
web.stanford.edu/~boyd/cvxbook/