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on 15-Jun-2022 (Wed)

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#ML_in_Action #learning #machine #software-engineering
ML engineering applies a system around this staggering level of complexity. It uses a set of standards, tools, processes, and methodology that aims to minimize the chances of abandoned, misguided, or irrelevant work being done in an effort to solve a business problem or need. It, in essence, is the road map to creating ML-based sys- tems that can be not only deployed to production, but also maintained and updated for years in the future, allowing businesses to reap the rewards in efficiency, profitabil- ity, and accuracy that ML in general has proven to provide (when done correctly).
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#causality #statistics
ausal edges assumption is asymmetric; “ 𝑋 is a cause of 𝑌 ” is not the same as saying “ 𝑌 is a cause of 𝑋
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Flashcard 7095738043660

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#causality #statistics
Question

causal edges assumption, endows [...] paths with the unique role of carrying causation along them.

Additionally, causal edges assumption is asymmetric; “ 𝑋 is a cause of 𝑌 ” is not the same as saying “ 𝑌 is a cause of 𝑋 .”

Answer
directed

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causal edges assumption, endows directed paths with the unique role of carrying causation along them. Additionally, causal edges assumption is asymmetric; “ 𝑋 is a cause of 𝑌 ” is not the same as saying “ 𝑌 is a cause of 𝑋 .”

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Flashcard 7095739878668

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#causality #statistics
Question
[...] means that the treatment groups are exchangeable in the sense that if they were swapped, the new treatment group would observe the same outcomes as the old treatment group
Answer
Exchangeability

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Exchangeability means that the treatment groups are exchangeable in the sense that if they were swapped, the new treatment group would observe the same outcomes as the old treatment group

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