Peer Review

Machine Learning

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Effectiveness:

Ease of Use:

Overview:: It is a MOOC by Stanford in coursera. The course covers a number of techniques in machine learning.
Type of Material:: Online Course
Recommended Uses:: Courses in Coursera are asynchronous, but not self-paced.
Technical Requirements:: Web browser with an internet connection.
Identify Major Learning Goals:: This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course also draws from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Target Student Population:: Undergraduate and postgraduate students.
Prerequisite Knowledge or Skills:: - Basic knowledge of maths and programming skills.

Rating:
Strengths:: While it is not possible to review the entire course without enrolling in it, this particular course has been around for a while, and has excellent reviews on the Coursera site. It also has a strong reputation in the open courseware community. Content is very well design and structured. It contains video lectures and exercises that are evaluated using the coursera interface. Videos are subtitled in different languages.
Concerns:: - None

Rating:
Strengths:: -Exercises are graded and student receives feedback -If the student completes the course it can get a certificate at the end of the course - Videos are well explained and follow a defined path, from introductory material to more advance content. -It is possible to participate in discussions with other students via forums
Concerns:: - Deadlines for submission are predefined, thus students need to be self-motivated to complete the course on time and receive the certificate.

Rating:
Strengths:: - Interface is easy to use
Concerns:: - It is necessary to register to the coursera website in order to access this material

Other Issues and Comments:: - A very well known course in the MOOC world, as it was the first course Coursera platform made available.
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