Linear regression in BIRD is a supervised learning algorithm that uses several independent variables to predict the outcome of a dependent variable. It can be used to analyze the relationship between a dependent variable and several independent variables.

Identifying trends or patterns in the data, forecasting estimates (e.g., analysis of the impact of advertising on revenue).

A supervised learning method used for classification problems. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.

Predicting customer churn, fraud detection, disease diagnosis.

Clustering is performed using the K-means algorithm (an unsupervised algorithm), which clusters data based on the mean distance between each data point.

Customer segmentation, personalization and targeting in marketing, identifying spam content.

Users can perform univariate forecasting (future predictions based on a single variable) to determine future trends in the data.

Sales forecasting, demand forecasting, inventory forecasting.

This model allows users to run sentiment analysis on data and simulate the sentiment of a text on-the-fly using the Simulation section.

Identifying customer perception through social media monitoring, product innovation, survey analytics, and customer sentiment analysis.

It runs multiple ML algorithms in parallel and produces a table of the best models, allowing users to explore further insights. Based on the target column, AutoML can run for both regression and classification problems.

Applicable to all types of predictive analytics use cases.

This program recognizes and extracts text from image-only PDFs, scanned documents, and camera images. In BIRD, the OCR algorithm extracts data from these images and stores it in the database for further analytical analysis.

Document digitization, medical information extraction.

Smart Insights allows business users to process , identify and reveal key influencers that have most impact on the target variable.

Smart Insights allows business users to process , identify and reveal key influencers that have most impact on the target variable.

Perform simulations on key target variables by changing the key influencers. Find out the optimal business outcomes.

Scenario analysis, goal-seeking analysis.