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Viser: Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning Vital Source e-bog
Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
(2018)
Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning Vital Source e-bog
Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
(2018)
Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning Vital Source e-bog
Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
(2018)
Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Paco Gonzalez, Guillermo Fernàndez, Tamanaco Francìsquez, Julio Granados, Ginger Grant, Pau Sempere og Javier Torrenteras
(2018)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Pearson International (Marts 2018)
- Forfattere: Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
- ISBN: 9780134849683R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Pearson International (Marts 2018)
- Forfattere: Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
- ISBN: 9780134849683R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Pearson International (Marts 2018)
- Forfattere: Ginger Grant, Julio Granados, Guillermo Fernández, Pau Sempere, Javier Torrenteras, Paco Gonzalez og T
- ISBN: 9780134849683R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 336 sider
- Udgiver: Pearson Education (Februar 2018)
- Forfattere: Paco Gonzalez, Guillermo Fernàndez, Tamanaco Francìsquez, Julio Granados, Ginger Grant, Pau Sempere og Javier Torrenteras
- ISBN: 9781509307012
Focus on the expertise measured by these objectives:
- Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning
- Develop machine learning models
- Operationalize and manage Azure Machine Learning Services
- Use other services for machine learning
- Organizes its coverage by exam objectives
- Features strategic, what-if scenarios to challenge you
- Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes
About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services.
See full details at: microsoft.com/learning
Chapter 1 Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Skill
1.1: Import and export data to and from Azure Machine Learning Skill
1.2: Explore and summarize data Skill
1.3: Cleanse data for Azure Machine Learning Skill
1.4 Perform feature engineering
Chapter 2 Develop machine learning models Skill
2.1: Select an appropriate algorithm or method Skill
2.2: Initialize and train appropriate models Skill
2.3: Validate models
Chapter 3 Operationalize and manage Azure Machine Learning Services Skill
3.1: Deploy models using Azure Machine Learning Skill
3.2: Manage Azure Machine Learning projects and workspaces Skill
3.3: Consume Azure Machine Learning models Skill
3.4: Consume exemplar Cognitive Services APIs
Chapter 4 Use other services for machine learning Skill
4.1: Build and use neural networks with the Microsoft Cognitive Toolkit Skill
4.2: Streamline development by using existing resources Skill
4.3: Perform data science at scale by using HDInsight Skill
4.4: Perform database analytics by using SQL Server R Services on Azure