IBM SPSS Modeler Features

Based on 58 IBM SPSS Modeler reviews. Supports a variety of scripting environments

Based on 49 IBM SPSS Modeler reviews. Mines data from databases and prepares data for analysis

As reported in 61 IBM SPSS Modeler reviews. Applies statistical algorithms to selected data

Analyzes both structured and unstructured data This feature was mentioned in 69 IBM SPSS Modeler reviews.

As reported in 68 IBM SPSS Modeler reviews. Interacts with data to prepare it for visualizations and models

Offers modeling capabilities This feature was mentioned in 71 IBM SPSS Modeler reviews.

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.

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

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

As reported in 14 IBM SPSS Modeler reviews. Provides users with pre-built algorithms for simpler model development

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

Based on 16 IBM SPSS Modeler reviews. Transforms raw data into features that better represent the underlying problem to the predictive models

As reported in 11 IBM SPSS Modeler reviews. Offers image recognition services

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

Based on 12 IBM SPSS Modeler reviews. Offers natural language generation services

Based on 13 IBM SPSS Modeler reviews. Offers artificial neural networks for users

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

Provides deep learning capabilities 13 reviewers of IBM SPSS Modeler have provided feedback on this feature.

Based on 13 IBM SPSS Modeler reviews. Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications This feature was mentioned in 12 IBM SPSS Modeler reviews.

Provides easily scaled machine learning applications and infrastructure 15 reviewers of IBM SPSS Modeler have provided feedback on this feature.

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