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Low-code data analysis with MATLAB | Import, visualize, and compute statistics without writing code скачать в хорошем качестве

Low-code data analysis with MATLAB | Import, visualize, and compute statistics without writing code Streamed 2 years ago

MATLAB

Simulink

MathWorks

Image processing

Medical images

Segmenting

Segmentation

Volume Segmentation

3D Segmentation

MRI

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Low-code data analysis with MATLAB | Import, visualize, and compute statistics without writing code

Have you ever been excited to start analyzing some new data, but then been stuck writing code just to get started? MATLAB includes many tools to help you import, visualize and analyze data quickly, often without writing code. Sign up for Exploratory Data Analysis with MATLAB on Coursera if you’re interested in learning more approaches to data visualization and analysis. https://bit.ly/3SGBMuh Watch live as Brandon Armstrong and Cris LaPierre walk you through a real-world example using MATLAB and take your questions about how to import, visualize, and compute statistics without writing code in MATLAB. The first challenge when starting a new project is importing and exploring the data to determine what it contains. This is especially true if your files contain a mix of numeric, text, and categorical data. MATLAB has many new tools to simplify this process. Using app-based workflows enable you to spend more time investigating and exploring your data and less time troubleshooting code. Importantly, the code required to repeat your analysis is auto-generated so you can apply the same steps to new files and have others reproduce your work. Related Products: MATLAB: https://bit.ly/2XBROga Mapping Toolbox: https://bit.ly/3AeLYTI Statistics and Machine Learning Toolbox: https://bit.ly/2kNf1cQ About the Presenters: Brandon Armstrong is a Senior Team Lead in Online Course Development at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010. His research in magnetic resonance has been cited over 1100 times and he is co-inventor on 4 patents. Brandon used MATLAB for simulation, data acquisition, and data analysis during his research tenure. In his spare time he enjoys analyzing baseball data and doing image processing with MATLAB. Cris LaPierre is a member of the Online Course Development team at MathWorks, where he collaborates with instructors on popular learning platforms like edX and Coursera to help them create interactive and engaging learning experiences using MathWorks products. He holds a PhD in Bioengineering from the University of Utah and a BS in Mechanical Engineering from Brigham Young University. Prior to joining MathWorks, he developed hardware for low- and high-field MRI research studies. He enjoys puzzles and problem-solving, and is enthusiastic about helping people use MATLAB. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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