If you feel Machine Learning is for you, just go for it . … But Machine Learning is not for everyone and everyone doesn’t need to know it. If you are a successful Software Engineer and you’re enjoying your work, just stick with it. Some basic Machine Learning tutorials won’t help you progress in your career.
Read moreIs Andrew ng/ml course still good?
Andrew Ng’s original Machine Learning course is still the best introductory course out there in my opinion , even if it may be a bit dated. If you follow it up with his recent series on deep learning, you have a powerful one-two punch that will kickstart your machine learning journey.
Read moreWhy does Andrew use octave?
Octave is a high-level programming language that is typically used for scientific numerical calculations. Andrew Ng has used Octave and MATLAB in his course on machine learning. The reason is that these languages allow you to better understand the mathematics behind machine learning algorithms .
Read moreIs octave worth learning?
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.
Read moreHow much is Stanford machine learning certificate?
The machine learning course and certificate offered by Stanford University is perhaps the better option for those who want to get into machine learning and earn a certificate at the same time. You can either audit the course for free or pay $79 to obtain a certificate upon completing the course.
Read moreWhat is deep network?
What is a deep neural network? At its simplest, a neural network with some level of complexity, usually at least two layers , qualifies as a deep neural network (DNN), or deep net for short. Deep nets process data in complex ways by employing sophisticated math modeling.
Read moreIs machine learning by Andrew Ng included in Coursera plus?
As a notable example, some well known, high-quality Coursera content such as Andrew Ng’s classic Stanford Machine Learning course, Stanford’s Algorithms courses, and Andrew Ng’s Deep Learning specialization from deeplearning.ai are not included .
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