Machine Learning Unit I

What is Machine Learning? (Choose 3 Answers)

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Data Statistics

Which one in the following is not Machine Learning disciplines?

• Information Theory

• Neurostatistics

• Optimization + Control

• Physics

What kind of learning algorithm for "Future stock prices or currency exchange rates"?

• Recognizing Anomalies

• Prediction

• Generating Patterns

• Recognition Patterns

What kind of learning algorithm for "Facial identities or facial expressions"?

• Recognizing Anomalies

• Prediction

• Generating Patterns

• Recognition Patterns

Which of the following is not type of learning?

• Semi-unsupervised Learning

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ...

• Unsupervised Learning: Clustering

• Supervised Learning: Classification

• Reinforcement Learning

• Unsupervised Learning: Regression

Targetted marketing, Recommended Systems, and Customer Segmentation are applications in ...

• Unsupervised Learning: Clustering

• Supervised Learning: Classification

• Reinforcement Learning

• Unsupervised Learning: Regression

Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...

• Unsupervised Learning: Clustering

• Supervised Learning: Classification

• Reinforcement Learning

• Unsupervised Learning: Regression

Machine Learning has various search/ optimization algorithms, which of the following is not evolutionary computation?

• Perceptron

• Genetic Algorithm (GA)

• Neuro Evolution

• Genetic Programming (GP)

A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E.Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. What would be a reasonable choice for P?

• The probability of it correctly predicting a future date's weather.

• None of these.

• The weather prediction task.

• The process of the algorithm examining a large amount of historical weather data.