IBM SPSS Modeler Features

As reported in 58 IBM SPSS Modeler reviews. Supports a variety of scripting environments

As reported in 49 IBM SPSS Modeler reviews. Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data This feature was mentioned in 61 IBM SPSS Modeler reviews.

Analyzes both structured and unstructured data 69 reviewers of IBM SPSS Modeler have provided feedback on this feature.

Interacts with data to prepare it for visualizations and models This feature was mentioned in 68 IBM SPSS Modeler reviews.

Based on 71 IBM SPSS Modeler reviews. Offers modeling capabilities

Creates data visualizations or graphs This feature was mentioned in 68 IBM SPSS Modeler reviews.

Generates reports of data performance 64 reviewers of IBM SPSS Modeler have provided feedback on this feature.

As reported in 12 IBM SPSS Modeler reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 13 IBM SPSS Modeler reviews.

Provides users with pre-built algorithms for simpler model development This feature was mentioned in 14 IBM SPSS Modeler reviews.

As reported in 14 IBM SPSS Modeler reviews. Supplies large data sets for training individual models

Transforms raw data into features that better represent the underlying problem to the predictive models This feature was mentioned in 16 IBM SPSS Modeler reviews.

Based on 11 IBM SPSS Modeler reviews. Offers image recognition services

Offers natural language processing services 12 reviewers of IBM SPSS Modeler have provided feedback on this feature.

As reported in 12 IBM SPSS Modeler reviews. Offers natural language generation services

Offers artificial neural networks for users 13 reviewers of IBM SPSS Modeler have provided feedback on this feature.

Offers natural language understanding services This feature was mentioned in 12 IBM SPSS Modeler reviews.

Based on 13 IBM SPSS Modeler reviews. Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure 13 reviewers of IBM SPSS Modeler have provided feedback on this feature.

Allows users to insert machine learning into operating applications 12 reviewers of IBM SPSS Modeler have provided feedback on this feature.

As reported in 15 IBM SPSS Modeler reviews. Provides easily scaled machine learning applications and infrastructure

Based on 15 IBM SPSS Modeler reviews. Gives user ability to import a variety of data sources for immediate use

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives