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Udemy - How to Become A Data Scientist Using Azure Machine Learning

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Description

There can be little doubt that the single hottest career in
the data field is the data scientist or BI developer skilled in predictive analytics.

Yes, Big Data is on
everyone’s lips but what happens after that big data is ingested into a data lake?

The answer is
predictive analytics.

Because we live in the big data era, machine learning has become much more popular in
the last few years.

Having lots of data to work with in many different areas lets the techniques of machine
learning be applied to a broader set of problems.

Data can hold secrets, especially if you have lots of
it.

With lots of data about something, you can examine that data in intelligent ways to find patterns.

This is exactly what machine learning does: It examines large amounts of data looking for patterns, then
generates code that lets you recognize those patterns in new data.

Your applications can use this generated
code to make better predictions. In other words, machine learning can help you create smarter applications.

Azure Machine Learning (Azure ML) is a cloud service that helps people execute the machine learning process.

As its name suggests, it runs on Microsoft Azure, a public cloud platform.

Because of this, Azure ML can
work with very large amounts of data and be accessed from anywhere in the world. Using it requires just a web browser
and an internet connection.

In this course you will be learning and building predictive algorithms using
Azure Machine Learning Studio.

At the end of this course you’ll be able to build and evaluate a binary
classification predictive model without authoring a single line of code

You’ll build an Experiment for
a targeted email campaigned and be able to tell what customers should receive flyers and those that shouldn’t.

Thanks for reading about Azure Machine Learning Studio and I’ll see you in the course.
Who is the
target audience?

 This course is for developers, business analysts and any data professional who want to
learn the foundation of data mining.

Requirements

 Basic data skills and statistics would
be helpful but this is an entry level course.

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