※Please note: This workshop will be conducted in Mandarin※ Join us for MATLAB Series Courses in December 2020, please refer to following section for more workshop details.

《Venue》CCC – Computer Laboratory Any inquiries,

please mail to the following address: inquiry@cc.nthu.edu.tw or call Miss Chiang at campus ext.31231

Focus on software fundamental skills, perfect for beginner and any faculty.

Registration：https://reurl.cc/odvmdg

MATLAB for Data Analytics using Statistic and Machine Learning method

This course focuses on data analysis process; from importing and organizing data, to exploratory analysis, to confirmatory analysis and simulation. We will provide hands-on experience for performing statistical data analysis with MATLABR and Statistics and Machine Learning Toolbox™. The course is intended for data analysts and data scientists who need to automate the processing, analysis, and visualization of data from multiple sources. Topics include:

• Access data from files and Excel spreadsheets
• Visualize data and customize figures
• Perform statistical analysis and fitting
• Generate reports and automate workflows
• Share analysis tools as standalone applications or Excel add-ins

MATLAB for Big Data

MATLAB provides a single, high-performance environment for working with big data. In this course, we will use MATLAB datastores to access data that normally does not fit into the memory of a single computer.

To analyze data, tall array allow you to apply statistics, machine learning, and visualization tools to data that does not fit in memory.

• Big Data Capability in MATLAB
• Big data in industry
• New Big Data Capabilities in MATLAB
• Access Big Data
• Datastore
• Tall arrays
• Working with tall arrays
• Functions support tall
• Conclusion and Other Materials