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Microsoft 070-774 Exam Syllabus Topics:

Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx

Perform Cloud Data Science with Azure Machine Learning 70-774 Exam

Perform Cloud Data Science with Azure Machine Learning 70-774 Exam is centered around Azure Machine Learning, Bot Framework, and Cognitive Services. The exam is designed to target candidates who are Data Scientists or Analysts using the Microsoft Azure cloud services to build and deploy intelligent solutions. This exam will test your understanding and familiarity with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation. Machine Learning is one of the hottest topics and technologies in the industry right now.

Machine Learning is being used to combine with Big Data to automate the processes of gaining insights and predicting future behavior of systems, devices, and people. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Cloud Data Science with Azure Machine Learning Microsoft 70-774 Exam. This exam only available for the candidates till 30th June 2019 after that this may get replace with some other exam so you can plan get it completed before it get expire.

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This is the list of the contents in our Perform Cloud Data Science with Azure Machine Learning 70-774

• Azure Machine Learning models
• Import and Export Data to and from ML.
• Validate models
• Cleanse data for Azure Machine Learning
• Perform data sciences at scale by using HD Insights
• Explore and summarize data

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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes

TrainingQuiz expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Cloud Data Science with Azure Machine Learning 70-774 Dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

• Machine Learning Projects and workspace
• Python Languages.
• Data Science
• Machine Learning models
• Azure Machine Learning.
• Microsoft R Servers.
• HDinsights
• Algorithms for grouping unlabeled Data.
• SQL/T-SQL
• Cognitive Services/API

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