Thursday, May 26, 2016

Microsoft Free Online Course on Machine Learning



Microsoft is offering an open online course on Principles of Machine Learning. In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models.
The overall objective of this six week course is to learn how to build and derive insights from these models using R, Python, and Azure Machine Learning. The course will start on June 26, 2016.

Course At A Glance
Length: 6 weeks
Effort:  3-4 hours per week
Subject: Computer Science
Institution: Microsoft and edx
Languages: English
Price: Free
Certificate Available: Yes
Session: Starts on June 26, 2016
Providers’ Details
Microsoft is offering this online course via edX platform. Microsoft is offering the course via renowned online platform edX. In this new connected world, Microsoft believes technology creates opportunity, and courses are designed to provide you with the core development skills needed to be successful in the cloud-first, mobile-first world.
About This Course
Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning.
Why Take This Course?
This is a free online course. This MOOC will be offered with Video Transcripts in English.  Applicants can get a verified certificate.
Learning Outcomes
  • Explore classification
  • Regression in machine learning
  • How to improve supervised models
  • Details on non-linear modeling
  • Clustering
  • Recommender systems
Instructors
Dr. Steve Elston
Steve is a big data geek and data scientist, with over two decades of experience using R and S/SPLUS for predictive analytics and machine learning.
Cynthia Rudin
Cynthia leads the Prediction Analysis Lab at MIT, and is associated with the Computer Science and Artificial Intelligence Laboratory and the Sloan School of Management.
Requirements
None
How To Join This Course
  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the edx.org home page and type in their email address and edX password. This will take them to dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)

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