[Research] azure ml anatomy of a machine learning service - Sharat ChikkerurPAPIs.io
In this talk, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.
Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...Mark Tabladillo
Microsoft has introduced a new technology for developing analytics applications in the cloud. The presenter has an insider's perspective, having actively provided feedback to the Microsoft team which has been developing this technology over the past 2 years. This session will 1) provide an introduction to the Azure technology including licensing, 2) provide demos of using R version 3 with AzureML, and 3) provide best practices for developing applications with Azure Machine Learning
[Research] azure ml anatomy of a machine learning service - Sharat ChikkerurPAPIs.io
In this talk, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.
Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...Mark Tabladillo
Microsoft has introduced a new technology for developing analytics applications in the cloud. The presenter has an insider's perspective, having actively provided feedback to the Microsoft team which has been developing this technology over the past 2 years. This session will 1) provide an introduction to the Azure technology including licensing, 2) provide demos of using R version 3 with AzureML, and 3) provide best practices for developing applications with Azure Machine Learning
Microsoft recommendation solution on azureDuran Hsieh
It is a big-data and AI workshop in National Yunlin University of Science and Technology. I have two sessions this workshop:
1. SEO (2hours)
2. Microsoft recommendation solution on Azure (3hours)
I introduce what is data mining, recommendation system, and Azure. I also show:
1. Participant how to deploy recommendation solution to azure
2. How to use azure storage
3. How to use recommendation solution
Microsoft recommendation solution on azureDuran Hsieh
It is a big-data and AI workshop in National Yunlin University of Science and Technology. I have two sessions this workshop:
1. SEO (2hours)
2. Microsoft recommendation solution on Azure (3hours)
I introduce what is data mining, recommendation system, and Azure. I also show:
1. Participant how to deploy recommendation solution to azure
2. How to use azure storage
3. How to use recommendation solution
3. Machine Learning
•Machine learning is a scientific discipline that
explores the construction and study of algorithms
that can learn from data.
•Problems to learn:
• Classification
• Clustering
• Regression
• Density estimation
• Dimensionality Reduction
3
classification
clustering
(linear) regression