---
title: "[Report] Gartner: Data Science and Machine Learning Platforms Report"
description: MATLAB® and Simulink® provide a unified approach to modeling and simulating RF power amplifiers (PAs) and DPD algorithms, letting you rapidly develop ideas, validate designs, and build robust RF systems.
---

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## MathWorks Named a Customers’ Choice in the Gartner Peer Insights “Voice of the Customer”: Data Science and Machine Learning Platforms Report

<https://www.techsource-asia.com/ebook-model-rf-power-amplifiers>

Gartner has published its July 2020 Gartner Peer Insights “Voice of the Customer”: Data Science and Machine Learning. Read the report to learn why customers named MathWorks a Customers’ Choice.

![Gartner Peer Insight](https://www.mathworks.com/campaigns/offers/gartner-peer-insights-data-science-machine-learning-platforms/_jcr_content/mainParsys/image.adapt.full.high.jpg/1596595660773.jpg) ​

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Gartner, Gartner Peer Insights ‘Voice of the Customer’: Data Science and Machine Learning Platforms, July 2020­ Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from MathWorks.

The Gartner Peer Insights Customers’ Choice badge is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.

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