Data Mining вопросы и ответы для интервью
Вопрос 1. What is data mining?
Data mining is the process of discovering patterns, trends, and useful information from large datasets.
Example:
Identifying customer purchasing behavior in an e-commerce dataset.
Это полезно?
Добавить комментарий
Посмотреть комментарии
Вопрос 2. Explain the difference between supervised and unsupervised learning.
Supervised learning involves training a model on a labeled dataset, while unsupervised learning deals with unlabeled data.
Example:
Supervised: Predicting house prices with labeled training data. Unsupervised: Clustering similar documents without labels.
Это полезно?
Добавить комментарий
Посмотреть комментарии
Вопрос 3. What is the curse of dimensionality?
The curse of dimensionality refers to the challenges and increased computational complexity that arise when working with high-dimensional data.
Example:
In high-dimensional space, data points become sparser, making it harder to generalize patterns.
Это полезно?
Добавить комментарий
Посмотреть комментарии
Вопрос 4. Name a popular algorithm for association rule mining.
Apriori algorithm.
Example:
Identifying frequent itemsets in a retail transaction dataset.
Это полезно?
Добавить комментарий
Посмотреть комментарии
Вопрос 5. What is cross-validation, and why is it important in machine learning?
Cross-validation is a technique to assess how well a model will generalize to an independent dataset. It helps detect overfitting.
Example:
Performing k-fold cross-validation to evaluate a classifier's performance.
Это полезно?
Добавить комментарий
Посмотреть комментарии
Самое полезное по оценкам пользователей: