We’re launching a free Deep Reinforcement Learning class on @huggingface 🥳!
Come learn with hands-on on unique environments. And publish in one line of code your trained agents on the Hub 🔥
Share with your friends who want to learn🤗!
👉 Register here forms.gle/oXAeRgLW4qZvUZ…
I built a physical data cube. 🤓
The data I work with is about wildlife. The 3 dimensions of the cube are species, location and time. Black cubes show when species were seen #dataviz#dataScientist 1/5
Do you ever wonder if your model - despite logging impressive accuracy - is still failing on an important but unknown slice of your dataset? We certainly do!
Stoked to share recent work @Iclr22 in which we develop & evaluate ~slice discovery methods~ (1/7)
ai.stanford.edu/blog/domino/
Supervised causal induction: In this work, we learn to induce causal structure by
treating the inference process as a black box and design a neural network architecture
that learns the mapping from data to graph
structures via supervised training.arxiv.org/abs/2204.04875
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79K Followers 275 FollowingStudent of causal inference, human reasoning, and history of ideas, all viewed through the sharp lens of artificial intelligence.
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🧑💻 Senior SRE at SentinelOne; previously at Caterpillar, IBM
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2K Followers 131 Following30 years of statistical expertise in medical and healthcare research. Home of @OCTRUctu and @EQUATORNetwork UK Centre. Based in @ndorms @UniofOxford
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