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Course details
One should be able to use functions and control statements on GNU Octave after completing this four-module course. Commonly used data file types, data interpolations, random numbers, loops, and advanced charting features should be understood. The course is designed for those who wish to learn how to use Octave for machine learning. It provides detailed instructions on how to use the functions and data file inputs. On GNU Octave, participants will be able to build reuseable code and work with external data. The course is intermediate in difficulty. It is necessary to have a basic understanding of Octave's Matrix, univariate analysis, and basic charting functions. Updated on 15 February, 2023Job roles this course is suitable for:
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