Name: Unsupervised Machine Learning by Coursera
Rating: 5 (8 reviews)

Module 1: Introduction to Unsupervised Learning and K Means This module introduces Unsupervised Learning and its applications. One of the most common uses of Unsupervised Learning is clustering observations using k-means. In this module, you become familiar with the theory behind this algorithm and put it into practice in a demonstration.Module 2: Selecting a clustering algorithm In this module, you become familiar with some of the computational hurdles around clustering algorithms, and how different clustering implementations try to overcome them. After a brief recapitulation of common clustering algorithms, you will learn how to compare them and select the clustering technique that best suits your data.Module 3: Dimensionality Reduction This module introduces dimensionality reduction and Principal Component Analysis, which are powerful techniques for big data, imaging, and pre-processing data. At the end of this module, you will have all the tools in your toolkit to highlight your Unsupervised Learning abilities in your final project.

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Course Credibility

The completion of this certificate renders a certificate from Coursera, a global online learning marketplace that aims to provide life-transforming learning experiences to learners around the world. It offers a range of learning opportunities—from hands-on projects and courses to job-ready certificates, career credentials, and degree programs. Coursera partners with more than 200 leading universities and companies to bring flexible, affordable, job-relevant online learning to individuals and organizations worldwide.

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Course Review

Flexibility- Self/Instructor paced

Pedagogy

The professors associated with this course have degrees from renowned institutions in the field of computer science, machine learning and engineering. The course offers a great opportunity to study under experienced professors. The applicants get to be a part of a self paced delivery method that enhances the concepts and lets them learn in an innovative way. It is an intermediate level course that is conducted in an online mode. The course offers instructor moderated discussions that offer great opportunities to make and build connections. The learners get to enjoy the benefits of practical learning. The curriculum prepares the learners for a career in the real world.

Industry Relevant Curriculum

Personalised or Dedicated Guidance and Mentoring

Discussion Forums / Instructor moderated

Course Accessibility- Mobile/Desktop

International Faculty

Hands-on training

Case Based Learning

Projects- Capstone, Industry-Simulation

Hands on training

Virtual Labs

Career impact

This certification course will help the learners grow their skill set. The learners will get to learn some of the popular industry related skills that will help them sustain longer in this domain. This course will make the working professionals ready for the Future. The topics are relevant to today's Information Technology environment.The course contains instructor moderated discussions that helps the learners to enhance their knowledge by raising general and specific queries. The course offers a platform to all the learners so that they can correct their mistakes through discussions.

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Pricing

The course is 9 hours long and offers access to course material on laptop and desktop. It is priced at a higher amount as per the industry standards. However, this course offers Industry related assistance that can help the learners grow professionally, practical learning, instructor moderated discussions and since it is an accredited degree, the course is worth investing in. By the end of the program, the learners will be able to master the in-demand skills necessary to become an expert capable of understanding Exploratory Data Analysis, Statistics and Probability, Unsupervised Learning, Clustering and Reduction-pca.

Peer Average

Assessment

The assessment method involves completing practice quizzes, graded programming assignments as well as undertaking graded assignments with peer feedback under various modules, throughout the duration of the degree. These can be research-based or concept specific. The final assessment ends with a programming project. The evaluations are designed to ensure continuous learner engagement with the program and to encourage learning

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Project Based Grading

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Offered by Coursera, the course helps the learners to understand unsupervised Learning, which is one of the most important types of Machine Learning. The key highlights of the course are instructor-moderated discussions,hands-on training, case based learning and international faculty. This course is specially designed for Degree Holders, Mid-Career Professionals, Professional Learners and Developers. Industries, tech-firms, start-ups and government agencies are some of the areas where one can work as an expert. It is a self paced course conducted in an online mode that helps the working professionals to upgrade their skill set by learning about the fundamentals and basics of machine learning followed by their application in the real world.

This course will teach you Unsupervised Learning, one of the most important types in Machine Learning. You will learn how to extract insights out of data that doesn't contain any labeled or target variables. Unsupervised learning will show you how to select the best algorithm for your data. This course covers unsupervised learning in its practical aspects.

Mark J Grover

Miguel Maldonado

Unsupervised Machine Learning by Coursera by Coursera is top course for Artificial Intelligence & Data Science. It is an Online course and is Paid

Unsupervised Machine Learning by Coursera

Unsupervised Machine Learning by Coursera

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Mark J Grover

Miguel Maldonado

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