Essentials of MATLAB: Fundamentals, statistics and machine learning
Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2017505363
S$1,691
About This Course
This course trains participants to have a working knowledge of using MATLAB to effectively find solutions to problems. Prior knowledge of MATLAB or other computing languages will be beneficial but is not required. Basic knowledge in statistics is assumed. Trainees will spend the first three days to learn the fundamentals, followed by the next five days making use of the Statistics and Machine Learning toolbox as well as Neural Network toolbox. The last two days of the course will be dedicated towards report generation.
What You'll Learn
Upon completion of the course, trainees will be equipped with all the fundamental skills to code in MATLAB and solve a wide variety of problems effectively. Trainees will also be able to use the Statistics and Machine Learning toolbox and Neural Network toolbox to apply in-depth statistical analysis as well as make predictions from a historical data set. Through the hands-on practice, trainees will gain confidence in their ability to code and open themselves to more advanced programming skills. With the fundamental knowledge acquired from this course, they will also be able to pick up other computing languages such as C++ and Python with little difficulty. Trainees will be able to piece together codes learnt in different topics to obtain solutions to complicated problems in the industry, and understand the limitations of their model as well as alternative approaches to finding solutions.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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