Machine Learning Quiz Questions and Answers

A type of computer

A technique for teaching computers to learn from data

A programming language

A hardware device

Minimize errors in predictions

Maximize computational efficiency

Predict future events

Learn from unlabeled data

Linear Regression

K-Means Clustering

Decision Trees

Support Vector Machines

Building better hardware

Selecting the most relevant features

Engineering new features using deep learning

Extracting features from images

The name of the model

The output of a regression model

The predicted category of an input

The input features of a model

Cross-training different models

Evaluating model performance on multiple datasets

Selecting hyperparameters

Testing a model's generalization ability

To increase model complexity

To decrease model complexity

To speed up model training

To increase bias

Visualizing decision boundaries

Evaluating model performance

Selecting hyperparameters

Handling missing data

Both measure the same thing

Precision focuses on false positives, recall focuses on false negatives

Precision focuses on false negatives, recall focuses on false positives

Precision and recall are unrelated metrics

To remove outliers from the data

To standardize the range of features

To increase the complexity of models

To decrease the dimensionality of features