Intelligent Systems and Data Analytics

Flashcards covering key terms and concepts related to Intelligent Systems and Data Analytics.

Intelligent System

A system that autonomously performs tasks requiring human intelligence and learns from experience.

Key Components of Intelligent Systems

Sensors/Perception, Knowledge Base, Reasoning Engine, Learning Algorithm, Actuators/Actions.

Supervised Learning

A type of learning where the system learns from labeled data.

Unsupervised Learning

A learning method that identifies patterns in unlabeled data.

Reinforcement Learning

A learning technique that learns by interacting with the environment.

Artificial Intelligence (AI)

A broad field concerning intelligent machines.

Machine Learning (ML)

A subset of AI focused on learning from data.

Deep Learning (DL)

A methodology using multi-layer neural networks for complex tasks.

Decision Trees

A supervised learning algorithm that models decisions as a tree-like structure.

Gini Impurity

A measure of how often a randomly chosen element would be incorrectly classified.

Entropy (Information Gain)

A measure of disorder or impurity in a dataset.

Overfitting

When trees become complex and fit noise in the training data.

Pruning

The process of reducing the size of a decision tree to avoid overfitting.

Random Forest

An ensemble method using multiple decision trees.

Gradient Boosted Trees

Technique that combines many weak decision trees for improved performance.

Fuzzy Logic

A decision-making method allowing machines to handle uncertain and imprecise information.

Fuzzification

The process of converting numerical inputs into fuzzy sets.

Rule Base

A collection of IF–THEN rules in fuzzy logic.

Inference Engine

The component that applies rules in fuzzy logic.

Defuzzification

The process of converting fuzzy output into a real value.

Data Analytics

The process of evaluating data using analytical and logical thinking.

Stakeholders

Individuals, groups, or parties interested in an organization.

Data Preparation

The process of cleaning and transforming raw data prior to analysis.

ETL Process

Extract, Transform, Load - the steps involved in preparing data for analysis.

Data Visualization

The graphical representation of data to present it effectively.

Data Storytelling

Narrative techniques used to communicate business performance and insights.

Business Intelligence (BI)

Transforms data into actionable insights.

Power BI

A BI tool used for data analysis, reports, and dashboards.

Actionable Insights

Findings that clearly indicate necessary actions.