MATLAB Features

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

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Ability to modify 3D primitives (parametric editing tools, free-form editing tools, symmetrical editing process, etc.)

Ability to access basic drawing tools (line, circle, polygons, etc.)

Ability to access basic editing tools (erase, trim, extend, undo, etc.)

Ability to access rendering tools (lighting tools, texture mapping, custom material creation, etc.)

Ability to conduct computational fluid dynamics and thermal analysis

Ability to conduct finite element analysis test

Ability to conduct kinematics and dynamic analysis of mechanisms

Ability to model discrete event simulation such as analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss.

Ability to model continous event simulation

Ability to conduct mechanical event simulation

Ability to model a manufacturing processes like casting, molding and die press forming

Ability to integrate with CAD and PLM software

Ability to support a sufficient number of hardware developers (by default or through the use of custom drivers).

Support for custom interfaces designed around specific design tasks, by default (out of the box) or through user customization.

Support for multiple user interface customizations. Can store and recall interfaces as required by a specific user without closing the application and without the need for scripting knowledge.

Names of basic commands are clear and easy to understand. On-cursor documentation, such as tool tips and pop-up descriptions, provide clarification of icons and other user interface elements.

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.

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