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- 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
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Betriebssysteme & Benutzeroberflächen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| 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 |
- 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
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Betriebssysteme & Benutzeroberflächen |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| 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 |
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