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Beschreibung
Prepare for Microsoft Exam 70-774-and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.
Prepare for Microsoft Exam 70-774-and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.
Inhaltsverzeichnis
- 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 sciences at scale by using HDInsights
- Skill 4.4 Perform database analytics by using SQL Server R Services on Azure
Details
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Betriebssysteme & Benutzeroberflächen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781509307012 |
ISBN-10: | 150930701X |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Grant, Ginger
Granados, Julio Fernandez, Guillermo Sempere, Pau Torrenteras, Javier Gonzalez, Paco Francísquez, Tamanaco |
Hersteller: | Pearson Education |
Maße: | 229 x 189 x 20 mm |
Von/Mit: | Ginger Grant (u. a.) |
Erscheinungsdatum: | 23.02.2018 |
Gewicht: | 0,576 kg |
Inhaltsverzeichnis
- 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 sciences at scale by using HDInsights
- Skill 4.4 Perform database analytics by using SQL Server R Services on Azure
Details
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Betriebssysteme & Benutzeroberflächen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781509307012 |
ISBN-10: | 150930701X |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Grant, Ginger
Granados, Julio Fernandez, Guillermo Sempere, Pau Torrenteras, Javier Gonzalez, Paco Francísquez, Tamanaco |
Hersteller: | Pearson Education |
Maße: | 229 x 189 x 20 mm |
Von/Mit: | Ginger Grant (u. a.) |
Erscheinungsdatum: | 23.02.2018 |
Gewicht: | 0,576 kg |
Warnhinweis