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Apart from the programming exercises being in Matlab (which nobody uses for ML nowadays), the course is still solid. The theoretical concepts and math that the
by ap916 3y ago
Apart from the programming exercises being in Matlab (which nobody uses for ML nowadays), the course is still solid. The theoretical concepts and math that the course covers are still relevant and provide a good foundation for someone starting out.
- Bostonian 3y agoNow it uses Python: https://www.coursera.org/specializations/machine-learning-introduction https://www.coursera.org/specializations/machine-learning-in...
- rahimnathwani 3y agoThat's not the course OP is talking about. The good news is that someone converted the matlab/octave exercise templates into numpy, and published them as jupyter notebooks that can work with the course's auto-grader: https://github.com/dibgerge/ml-coursera-python-assignments https://github.com/dibgerge/ml-coursera-python-assignments