What is Machine learning?

• The autonomous acquisition of knowledge through the use of computer programs

• he autonomous acquisition of knowledge through the use of manual programs

• The selective acquisition of knowledge through the use of computer programs

• The selective acquisition of knowledge through the use of manual programs

__________________ algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Traditional Learning

What device below is not an example of Machine Learning?

• Wearable fitness tracker

• Google Assistant

• Speech to Text

• Google Search

• None of the above

_______________________ is a category of an algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Traditional Learning

In this type of Machine Learning, an AI system is presented with unlabeled, uncategorized data and the system’s algorithms act on the data without prior training. The output is dependent upon the coded algorithms.

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Technique Learning

from the picture, what kind of programming is it?

• Traditional Programming

• Machine Learning

• Modern Programming

• Traditional Learning

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

• 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

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

• Unsupervised Learning: Clustering

• Supervised Learning: Classification

• Reinforcement Learning

• Unsupervised Learning: Regression