My main use cases for the solution were centered around academic research and engineering work. It was my preferred tool for performing mathematical manipulations and engineering tasks because it offered robust packages and libraries specific to those fields. For example, I found it highly suitable for tasks related to digital signal processing and other metric-based operations commonly required in engineering.
I use the tool for model-based development projects, particularly in the automotive sector. These projects involve automation and testing using scripts. Additionally, I have utilized it for auto-code generation and embedded coding. However, I haven't used the solution recently in the last three to four months due to a shift in my project focus.
Data Science Platforms designed to support the end-to-end data science process, enabling data professionals to develop, deploy, and manage data-driven applications. These platforms integrate a wide range of tools for data preparation, model building, testing, and deployment, streamlining workflows for data scientists, engineers, and business analysts.
My main use cases for the solution were centered around academic research and engineering work. It was my preferred tool for performing mathematical manipulations and engineering tasks because it offered robust packages and libraries specific to those fields. For example, I found it highly suitable for tasks related to digital signal processing and other metric-based operations commonly required in engineering.
I use the tool for model-based development projects, particularly in the automotive sector. These projects involve automation and testing using scripts. Additionally, I have utilized it for auto-code generation and embedded coding. However, I haven't used the solution recently in the last three to four months due to a shift in my project focus.
The primary use case of this solution to test run my algorithms before I develop the software in Visual Studio. I use MATLAB quite often.