LNG (Liquefied Natural Gas) is natural gas stored as a super-cooled (cryogenic) liquid. The temperature required to condense natural gas depends on its precise composition, but it is typically between -120 and -170°C (-184 and -274°F). The advantage of LNG is that it offers an energy density comparable to petrol and diesel fuels, extending range and reducing refueling frequency.
Explain me what’s the trade-off between bias and variance?
Tell us how is a decision tree pruned?
Explain me how would you handle an imbalanced dataset?
Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?
Explain me a hash table?
Tell me what are the last machine learning papers you’ve read?
Tell us how do classification and regression differ?
Explain me what is machine learning?
Can you explain what is the difference between inductive machine learning and deductive machine learning?
Explain me machine learning in to a layperson?
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