We will use Deep Learning to accurately identify the gender and age of a person from a single image of a face.
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.
We will be making a drowsiness detecting device. A countless number of people drive on the highway day and night.
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 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.
By the end of this course you will learn the basic operating system abstractions and their mechanisms.
Anybody who needs to learn Operating Systems from scratch and has Operating systems in their Bachelor’s degree.
To undertake this course, you should have taken an undergraduate level course on, or be familiar with, basic hardware and software aspects of computer systems organization.