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Perform Cloud Data Science with Azure Machine Learning - MOC On Demand (MS-20774)

If the course purchase individually, or you have annual subscription this Microsoft Official On-Demand course available for ninety days after the date when it request. Course access will terminate following ninety days of course enlistment.


Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

2 Days

Course Duration

2

SATV Value

Course Info

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If the course purchase individually, or you have annual subscription this Microsoft Official On-Demand course available for ninety days after the date when it request. Course access will terminate following ninety days of course enlistment.

Course Information

 

If the course purchase individually, or you have annual subscription this Microsoft Official On-Demand course available for ninety days after the date when it request. Course access will terminate following ninety days of course enlistment.

About course:

This course helps you to learn the advanced methods and theory widely used in data science. You will study about usual applications of specialized data types and will concentrate on unstructured data.

In this course, you will learn how to utilize MS Azure HDInsight for data mining, predictive modeling, big data processing, and real-time analytics. The primary objective behind this course is to enable the candidate to present and analyze data by utilizing MS Azure Machine Learning, and to give an introduction to the utilization of machine learning with big data tools, for example, R Services and HDInsight. Additionally, this course also assists the candidates for the Microsoft 70-774 (Perform Cloud Data Science with MS Azure Machine Learning) certification test.

 

Salary Estimate:

The machine learning proffesional with MS Azure expertise can make an average salary of $128,000 per annum.

 

Course Objective:

After successful completion of this course, candidates can:

  • Use and learn selection techniques and feature engineering on datasets which are to be utilized with MS Azure Machine Learning
  • Utilization of Python and R with MS Azure Machine Learning, and decide when to use a certain language
  • Describe machine learning, and how languages and algorithms are used
  • Use and learn neural networks and regression algorithms with MS Azure Machine Learning
  • Explain the objective of MS Azure Machine Learning and enumerate the essential characteristics of MS Azure Machine Learning Studio
  • Use and learn models, multiple algorithms and hyperparameters, and ability to evaluate and score models
  • Use and learn HDInsight with MS Azure Machine Learning
  • Use and learn clustering algorithms and classification with MS Azure Machine Learning
  • Learn and upload different kinds of data to MS Azure Machine Learning
  • Use and learn the Cognitive Services APIs for image and text processing, explain the application of neural networks, and to develop a recommendation application with MS Azure Machine Learning
  • Use and learn methods to make datasets ready for use with MS Azure Machine Learning
  • Use and explain R Server and R with MS Azure Machine Learning, and describe guidelines to configure and deploy SQL Server to assist R services
  • Describe guidelines to offer end-users with MS Azure Machine Learning services, and instruction to share data generated from MS Azure Machine Learning models

Audience:

  • The course is primarily designed for those individuals who wish to present and analyze data by using MS Azure Machine Learning.
  • The secondary audience for this course are information workers, developers and IT professionals who have to assist solutions based on MS Azure machine learning.

Prerequisites:

The candidates who are attempting this exam must have:

  • Understanding of data analysis methods and common statistical practices
  • Understanding and programing experience of R packages.
  • Practical understanding of relational databases.
  • Fundamental knowledge of the Microsoft Windows OS and its main functions.

Recommended prerequisites courses:

MS-20775 (Performing Data Engineering on Microsoft HD Insight)

 

Outline

More Information

More Information
Brand Microsoft
Subjects Cloud Computing
Lab Access Yes
Technology Microsoft, MOCOD
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Intermediate
Course Duration 2 Days
Language English
SATV Value 2
VPA Discount VPA Discount

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