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For linear regression, what are some of the assumptions a data scientist is most likely to make?
What is an AdaGrad algorithm in machine learning?
What are applications of ggplot2?
Explain the Algorithm Technique of Transduction in Machine Learning?
How do you design prompts for generating specific outputs?
What is naive bayes in machine learning?
What are spring annotations?
Is bayesian statistics useful?
Explain how AI models create realistic game physics.
Evaluate computationalism, as an account of the mind?
Define data reduction?
Explain data munging or data wrangling?
How does data cleaning plays a vital role in analysis?
Explain areas where data mining has bad effects?