How to Become A Data Scientist Using Azure Machine Learning
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- 4 mins on-demand audio
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- Build an end to end Predictive Model In Azure Machine Learning Studio
- You'll gain a high level background in data science.
- You'll be able to effectively use Microsoft's AML service.
Is this course right for you?
I want to make sure you get the most out of this course so let's make sure you are in the right place.
In this lecture let's learn about the 4 pillars of analysis.
These are the very basics of analysis in data science.
Why did big data and data science just become two of the hottest careers in the world.
A process approach to the data science process.
What steps do we need to take in order to begin modeling our data?
- Basic data skills and statistics would be helpful but this is an entry level course.
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.
- This course is for developers, business analysts and any data professional who want to learn the foundation of data mining.