T1604

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Getting Started with Microsoft Azure Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed for it. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. During the past decade, machine learning has given us selfdriving cars, speech recognition, effective web searches, and there is more to come.

Microsoft Azure Machine Learning (ML) is a service that a developer can use to build predictive analysis models (with training data sets from a variety of data sources) and then easily distribute these models of consumption and cloud hosting services. You will learn to work with Azure ML Studio to build your predictive models which provides
rich functionality to support many end-to-end workflow scenarios. In this three day instructor lead course, you will learn about the most efficient machine learning techniques and practice to implement them and make them work. More importantly, you learn not only the theoretical foundations of learning, but also gain the practical knowledge needed to quickly and forcefully apply these techniques to new problems.

The agenda for this course as follows:

• Introduction to Big Data and Machine Learning
• Introduction to Azure ML Studio
• Designing a Predictive Analytics Solution with Azure ML

o Machine Learning & Recommenders
o Targeted Marketing
o Collaborative Filtering – Association Rules
o Content-Based Filtering & Hybrid: MatchBox Recommender

• Visualizing Data and Exploring Models
• Azure Marketplace
• Monetizing ML Application with Azure Marketplace
• Azure ML API Services and Extensibility

Microsoft Azure Machine Learning (ML) is a service that a developer can use to build predictive analysis models (with training data sets from a variety of data sources) and then easily distribute these models of consumption and cloud hosting services. You will learn to work with Azure ML Studio to build your predictive models which provides
rich functionality to support many end-to-end workflow scenarios. In this three day instructor lead course, you will learn about the most efficient machine learning techniques and practice to implement them and make them work. More importantly, you learn not only the theoretical foundations of learning, but also gain the practical knowledge needed to quickly and forcefully apply these techniques to new problems.

The agenda for this course as follows:

• Introduction to Big Data and Machine Learning
• Introduction to Azure ML Studio
• Designing a Predictive Analytics Solution with Azure ML

o Machine Learning & Recommenders
o Targeted Marketing
o Collaborative Filtering – Association Rules
o Content-Based Filtering & Hybrid: MatchBox Recommender

• Visualizing Data and Exploring Models
• Azure Marketplace
• Monetizing ML Application with Azure Marketplace
• Azure ML API Services and Extensibility

Kurs-ID: T1604
Längd: 3 dagar
Pris exkl moms: 26 950 kr

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Stockholm
14 dec-16 dec
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20 feb-22 feb
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10 apr-12 apr
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7 jun-9 jun
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Göteborg
14 dec-16 dec R
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20 feb-22 feb R
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10 apr-12 apr R
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7 jun-9 jun R
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Malmö
14 dec-16 dec R
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20 feb-22 feb R
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10 apr-12 apr R
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7 jun-9 jun R
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Delta på kursen från ditt hem, jobb eller annan plats.

14 dec-16 dec
Boka nu!
20 feb-22 feb
Boka nu!
10 apr-12 apr
Boka nu!
7 jun-9 jun
Boka nu!

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