![]() The goal of Andrew Ng’s course is to build a mathematical foundation for your ML journey. So they are less confusing than other languages that don’t follow the same convention. Andrew Ng has explained that these languages have a syntax similar to linear algebra notations. It’s a very popular and highly rated machine learning class.Ĭhances are, you heard about Octave and MATLAB from this course. In the course, Andrew starts from scratch and goes very deep into the behind-the-scenes of machine learning algorithms. Why Was Octave Used in Andrew Ng’s Machine Learning Course?Īndrew Ng has a classic free course on machine learning that’s available on Coursera. It can also be used for machine learning, analyzing data, and building ML algorithms. ![]() It even has several language features and syntax variety that MATLAB lacks.Īlthough Octave was initially meant for scientific computation, many organizations use it for basic data processing and plotting. If a code runs on MATLAB without using any functions that Octave doesn’t have, it will also run on Octave. Octave is quite similar and mostly compatible with MATLAB.
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