Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization&... (more…)
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From Isaac Asimov’s three laws to Elon Musk’s “Summoning the Demon”, ethics of AI is a popular conversation starter. However, there is now… (more…)
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The ML Reproducibility Challenge is a global challenge to reproduce papers published in 2020 in top machine learning, computer vision and… (more…)
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A collaboration from UoC Berkeley, Stanford University and Facebook offers a deeper and more granular picture of the actual state of poverty in and across nations, through the use of machine learning. The research, entitled Micro-Estimates of Wealth for a... (more…)
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