MS55162

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Creating and Deploying in Minutes No-Code Predictive Analytics Using Azure Machine Learning

About this course

This course is designed to introduce the participant to the exciting world of predictive analytics built using drag-and-drop with Microsoft Azure Machine Learning Studio, all without coding from your desktop, using your browser.

Målgrupp

The course is targeted towards business analysts, business intelligence developers, and managers interesting in exploring the world of predictive analytics for use as a competitive tool.

Förkunskaper

Before attending this course, students must have:

  • Working knowledge of their own business data.

Informator Training Cloud

Vår utbildningsportal stöttar dig genom hela utbildningen. Portalen är tidsbesparande och utformad för att ge dig som deltagare en mer effektiv inlärning - som leder till bättre resultat och större kunskapstillämpning efter kursen. Läs mer här >

At course completion

After completing this course, students will be able to:

  • Understand what machine learning is.
  • Understand the differences between supervised and unsupervised methods.
  • Understand the analytics spectrum.
  • Understand the development methodology.
  • Understand and utilize the Azure Machine Learning Studio interface.
  • Understand and utilize tools for cleaning.
  • Understand the differences between text files and binary files.
  • Understand structures of data.
  • Understand and utilize steps for data cleaning.
  • Understand and utilize feature selection.
  • Understand feature engineering.
  • Understand and utilize regression.
  • Understand and utilize classification.
  • Understand and utilize clustering.
  • Understand anomaly detection.
  • Understand and utilize the Azure Machine Learning Cheat Sheet.
  • Understand and utilize visualizations.
  • Understand data acquisition.
  • Understand data preparation.
  • Understand feature selection.
  • Understand and utilize Train Data.
  • Understand cross validation and comparing regressions.
  • Evaluate solutions and learn from examples.
  • Understand and utilize regression algorithms.
  • Understand and utilize classification algorithms.
  • Understand and utilize clustering algorithms.
  • Understand utilize joined datasets.
  • Understand and utilize Power BI.

At course completion

After completing this course, students will be able to:

  • Understand what machine learning is.
  • Understand the differences between supervised and unsupervised methods.
  • Understand the analytics spectrum.
  • Understand the development methodology.
  • Understand and utilize the Azure Machine Learning Studio interface.
  • Understand and utilize tools for cleaning.
  • Understand the differences between text files and binary files.
  • Understand structures of data.
  • Understand and utilize steps for data cleaning.
  • Understand and utilize feature selection.
  • Understand feature engineering.
  • Understand and utilize regression.
  • Understand and utilize classification.
  • Understand and utilize clustering.
  • Understand anomaly detection.
  • Understand and utilize the Azure Machine Learning Cheat Sheet.
  • Understand and utilize visualizations.
  • Understand data acquisition.
  • Understand data preparation.
  • Understand feature selection.
  • Understand and utilize Train Data.
  • Understand cross validation and comparing regressions.
  • Evaluate solutions and learn from examples.
  • Understand and utilize regression algorithms.
  • Understand and utilize classification algorithms.
  • Understand and utilize clustering algorithms.
  • Understand utilize joined datasets.
  • Understand and utilize Power BI.
Kurs-ID: MS55162
Längd: 2 dagar
Pris exkl moms: 20 450 kr

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Kan betalas med:
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Ort och datum

Stockholm
16 feb-17 feb
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27 apr-28 apr
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29 jun-30 jun
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Göteborg
16 feb-17 feb R
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27 apr-28 apr R
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29 jun-30 jun R
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Malmö
16 feb-17 feb R
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27 apr-28 apr R
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29 jun-30 jun R
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16 feb-17 feb
Boka nu!
27 apr-28 apr
Boka nu!
29 jun-30 jun
Boka nu!

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