The course covers theoretical concepts such as inductive bias, the PAC learning framework, Bayesian learning methods, margin-based learning, and Occam's Razor.
Anyone who is interested in learning Machine Learning.
Students entering the class are expected to have a pre-existing working knowledge of probability, linear algebra, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.
The instructor explained well with in-line practices. I really love how this course covers such a wide range of topics. I really appreciate how the instructor explained the theory while demonstrating hands-on execution.
I’m very happy with the course as it was very helpful. I have finally understood how maven works and I feel I can futher build on that knowledge easily. Totally recommend this course!!. All the concepts were well explained. This was very useful to gain insights into Maven.
This course was amazing and well structured. The instructor explained all the difficult topics and concepts in s simple manner with real-time examples. I highly recommend this course to everybody to everybody. I'm a beginner in Selenium. I learnt selenium and framework in a very easy way with this course.
It was a nice course to learn all the concepts of the subject with good and clear notes provided during the course. I am overall statisfied with the course as the course had all the updated concepts as well.