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Azure Machine Learning 101
The document is an introduction to Azure Machine Learning, discussing its functionalities and applications in building machine learning models. It covers various types of machine learning, including supervised and unsupervised learning, and provides examples such as breast cancer prediction and adult income prediction. Additionally, it highlights the ease of model deployment and collaboration through the Azure platform without requiring coding skills.
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Azure Machine Learning 101
- 2. Azure Machine Learning101, Renato Jović Senior Software Developer | Tagit Solutions Inc. renato@tagitinc.com
- 3. Agenda MACHINE LEARNING What and how? Types of ML? Examples of machine learning? AZURE MACHINE LEARNING Build ML models using Drag&Drop from your favorite browser. Too good to be true! DEMO #1 –Breast cancer prediction(Basicintroduction) DEMO #2 –Adultincomeprediction(API showcase) DEMO #3 –Azure ML lovesR(R script integration) 1 2 3
- 4. “A breakthrough inmachine learning would be worth ten Microsofts” -Bill Gates, Chairman, Microsoft “Machine learning is the next Internet”-Tony Tether, former director, DARPA “Machine learning is the hot new thing” -John Hennessy, President, Stanford “Web rankings today are mostly a matter of machine learning” PrabhakarRaghavan, former Dir. Research, Yahoo “Machine learning is going to result in a real revolution” – Greg Papadopoulos, former CTO, Sun
- 5. What is MachineLearning? Machine learningis a scientific discipline that deals with the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. http://en.wikipedia.org/wiki/Machine_learning
- 6. What is MachineLearning? http://dilbert.com/strips/comic/2013-02-02/
- 7. Machine learning –allaroundus Stock market, temperature value predictions Weather forecast Web search and recomendations Face (object) recognition systems
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- 9. Classes of learning Classification Binary classification –yes/no, 1/0, male/female Multi-class classification –{A, B, C, D}, {1, 2}, {teacher, student} Regression Predict a real value –temperature, stock value... Ranking Order items by some criteria –web search Clustering Partition items into group –twitter posts
- 10. Machine Learning algorithms Neural networks –supervised learning
- 11. Machine Learning algorithms Decision trees –supervised learning
- 12. Machine Learning algorithms Clustering –unsupervised learning
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- 14. Azure Machine Learning Newest Azure service which reduces complexity of Machine learning process and brings ML to broader audience Possibility to develop and put intoproduction ML models without writing line of code. Availabilityofmanytop of the classmachine learning algorithms (internally used at other Microsoft products) Easy ML model deployment and usage using restful API Easy collaboration on Azure Machine Learning projects Support for open source framework R
- 15. Azure Machine Learningworkspace
- 16. Azure ML workflow •HDInsight •SQL Server VM •SQL DB •Blobs & tables •Local Files Publish API in minutes Devices Applications Dashboards Data Microsoft Azure Machine Learning API Storage space Web Microsoft Azure portal Workspace MLStudio Business problem Business value Modeling Deployment •Desktop files •Excel spreadsheet •Other data files on PC Cloud Local http://channel9.msdn.com/events/TechEd/Europe/2014/DBI-B218
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- 18. Resourceshttp://en.wikipedia.org/wiki/Book:Machine_Learning_- _The_Complete_Guide http://blogs.technet.com/b/machinelearning/http://azure.microsoft.com/en-us/documentation/services/machine- learning/ http://cran.r-project.org/doc/manuals/R-intro.pdf https://archive.ics.uci.edu/ml/datasets.html
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- 20. Thank you! Email:renato@tagitinc.com Twitter: @rjovic