Comprehensive AI and Data Mining Concepts for Students

AI

Machines mimicking human intelligence

Assisted AI

AI that performs narrow tasks

Autonomous AI

AI that makes decisions independently

Augmented AI

AI that enhances human decision making

Machine Learning

Algorithms that learn from data

Deep Learning

Neural network based learning that mimics the brain

Natural Language Processing

Ability of computers to understand human language

Chatbot

AI system that simulates conversation

Intelligent Agent

Software that acts autonomously in environment

Data Mining

Process of discovering patterns in data

Classification

Predicting categorical outcomes

Regression

Predicting numeric outcomes

Clustering

Grouping similar data points

Association

Finding relationships between variables

Time Series

Data analyzed over time

CRISP-DM

Standard data mining process with 6 steps

Business Understanding

Define problem and goals

Data Understanding

Explore data

Data Preparation

Clean and transform data

Modeling

Apply algorithms

Evaluation

Assess model performance

Deployment

Implement solution

Confusion Matrix

Table evaluating classification results

True Positive

Correct positive prediction

False Positive

Incorrect positive prediction

True Negative

Correct negative prediction

False Negative

Incorrect negative prediction

Logistic Regression

Classification method for binary outcomes

Linear Regression

Predicts continuous values

ROC Curve

Graph of model performance

AUC

Area under ROC curve measuring accuracy

Text Mining

Extracting insights from text data

Unstructured Data

Data not in organized format

Corpus

Collection of text documents

Tokenizing

Breaking text into words

Stop Words

Common words removed from text

Stemming

Reducing words to root form

Sentiment Analysis

Identifying opinion in text

Web Mining

Extracting information from web data

Social Media Analytics

Analyzing social platform data

Time Series Forecasting

Predicting future values based on trends

Dependent Variable

Outcome variable

Independent Variable

Predictor variable