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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