※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: firstname.lastname@example.org or call Miss Chiang at campus ext.31231
Focus on software fundamental skills, perfect for beginner and any faculty.
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
- Tall arrays
- Working with tall arrays
- Functions support tall
- Conclusion and Other Materials