
近期在准备Data Science的岗位,总结了一些常见的面试题🏆️
🔸What is Data Science? 🔸Differentiate between Data Analytics and Data Science 🔸What do you understand about linear regression? 🔸What do you understand by logistic regression? 🔸What is a confusion matrix? 🔸What do you understand by true-positive rate and false-positive rate? 🔸How is Data Science different from traditional application programming? 🔸Explain the difference between Supervised and Unsupervised Learning. 🔸What is the difference between the long format data and wide format data? 🔸Mention some techniques used for sampling. What is the main advantage of sampling? 🔸What is bias in Data Science?
希望能帮到大家~
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