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Overall Score : 82 / 100

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

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Instructor Details

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Machine Learning Enthusiast I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman. Over the last five years I've transitioned to the exciting world of applied machine learning. I'm excited to show you what I've learned and help you move into one of the single most important fields in this space. Experience, education and passion I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car. Certifications Certifications are like college degrees, they are a great starting points to begin learning. I'm a Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE) and Microsoft Certified Trainer (MCT). Personal Born in Ohio, raised and educated in Pennsylvania, I currently reside in Atlanta with my wife and two children.

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Reviews

4.1

50 total reviews

5 star 4 star 3 star 2 star 1 star
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By Tony Reid

Excellent Course.

By Accsa

Bien

By O H

Just went thru course. Good start to Azure ML, way to get your feet wet. Recommended.

By Mahendra Navarange

good

By Andrea Lamb

Clear and easy to follow...

By Aaron Harkins

Still a little vague at this point

By Stanley F. Siranovich

Very clear and concise definitions

By Nicholas Lu

great tutorial for beginner

By Dennis Marinus Scholtus

A+ Course! Recommended!

By Ayush Ranjan

Its a good way of moving one step at a time.

By K Santosh Iyer

USeful and concise

By Rishab Jolly

Easy to grasp