AI and Machine Learning Overview

A model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level

• True

• False

Among the machine learning algorithms, which of the following are not integrated learning strategies?

• Boosting

• Stacking

• Bagging

• Marking

What is the fitting surface of linear regression in more than 3 dimensions

• Surface

• Plane

• Hyperplane

• Hypersurface

K-fold cross-validation refers to dividing the test data set into K sub-data sets.

• True

• False

Grid search is a method of parameter adjustment.

• True

• False

Which of the following statements about supervised learning is correct

• Decision tree is a supervised learning

• Supervised learning cannot use cross-validation for training

• Supervised learning is a rule-based algorithm

• Supervised learning can be trained without labels

When dealing with actual problems, when should machine learning be used?

• The data distribution itself changes over time and requires continuous re-adaptation of the program, such as predicting the trend of merchandise sales.

• The complexity of the rules is low and the problem is small.

• The rules of the task will change over time, such as the production line.

• The rules are very complicated or cannot be described, such as face recognition and speech recognition

Which of the following is correct about the difference between machine learning algorithms and traditional rule-based methods?

• Traditional rule-based methods, in which the rules can be explicitly clarified manually

• Traditional rule-based methods use explicit programming to solve problems

• The mapping relationship of the model in machine learning is automatically learned

• The mapping relationship of the model in the machine learning institute must be implicit

In Bagging integrated learning, what is the relationship between each base learner?

• Additive relationship

• Correlation

• The latter model must be built on top of the previous model

• Independent

After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

• Pruning

• Feature selection

• Data cleaning

• Decision tree generation