IDSC quiz 6

Artificial Intelligence

The ability of a computer to perform tasks that typically require human intelligence.

Biases

Anomalies in machine learning outputs due to prejudiced assumptions in algorithm development or training data.

Deep Learning

A type of machine learning using neural network architecture inspired by biology.

General AI

Machine intelligence enabling comprehension, learning, and human-like intellectual tasks.

Generative Artificial Intelligence (AI)

Algorithms like ChatGPT creating new content across various formats.

Machine Learning

Algorithms detecting patterns and making predictions, recommendations, and decisions.

Narrow AI

Specific AI focusing on a single task without transferring knowledge to other tasks.

Natural Language

AI branch enabling computers to understand text and speech like humans.

Neural Networks

Mimic the human brain's functioning with interconnected neurons.

Supervised Learning

Machine learning with human intervention for knowledge bases and improvements.

Unsupervised Learning

Machine learning without human validation, discovering and memorizing knowledge independently.

Business Analytics (BA)

Transforming data into insights for enhancing business decisions.

Business Intelligence (BI)

Analyzing historical and current data for actionable insights in decision-making.

Data Warehouse

Centralized system supporting business intelligence activities by consolidating data from various sources.

Dashboard

Information tool displaying key performance indicators and metrics for monitoring business health.

Democratization of information

Making digital data accessible to non-technical users without IT involvement.

Descriptive Data

Tells what happened, providing hindsight.

Predictive Data

Describes what will happen, offering insight.

Prescriptive Data

Describes how to make it happen, providing foresight.