How much time does it take to complete Andrew ng/ml course?

This 11-week completely online course is comprised of video and reading lectures, quizzes, and programming assignments. Not all weeks will contain programming assignments, but every weekly topic will have its quiz.

How long does it take to finish coursera machine learning?

Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 8 months.

Is Octave easy to learn?

Coming to the Octave and Matlab both are similar to writing some mathematical equations and yes again easy to learn and implement. It depends on your technical background and experience as to which language will be easy to learn for you.

Which is best Machine Learning course?

Best 7 Machine Learning Courses in 2021:

• Machine Learning — Coursera.
• Deep Learning Specialization — Coursera.
• Machine Learning Crash Course — Google AI.
• Machine Learning with Python — Coursera.
• Advanced Machine Learning Specialization — Coursera.
• Machine Learning — EdX.
• Introduction to Machine Learning for Coders — Fast.ai.

Is machine learning by Andrew Ng worth?

Andrew Ng’s course remains a top-ranked machine learning course because of its unique way of teaching. This course is blended with many standardized learning opportunities provided by Stanford University. If the question is about what you pay worth, you need to consider the course from below to aspects.

Is R better than Octave?

For example, * is matrix multiplication, quote(‘) is matrix transpose. As a result, the syntax for an expression in Octave is relatively clean compared to R. Thus advantage then for Octave over R, is that the class can be more focused on Machine Learning (ML) and not on syntactical weirdness.

Is Python better than Octave?

Octave is good for developing Machine Learning algorithms for numeric problems. Python is a general programming language strong in algorithm building for both number and text mining. So whether you’re looking to learn simple regression or robotic vision, open source may have an ideal solution for you.