1. Introduction to Azure Machine Learning and Data Mining algorithms Oleksandr Krakovetskyi CEO, DevRain Solutions PhD, Microsoft Regional Director @msugvnua, alex.krakovetskiy@devrain.com

2. Levels of data

3. Data Mining  The computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.

4. Data Mining process 1.Selection 2.Pre-processing 3.Transformation 4.Data Mining 5.Interpretation/Evaluation

5. Working with data  Different sources: databases, web, local files, semantic web, storages etc.  Different formats: text, HTML, PDF, Word, JSON/XML.  Parsing HTML-based sources.  Data cleaning, filtering, sorting, saving.

6. Data Mining tasks 1.Anomaly detection 2.Association rule learning (Dependency modelling) 3.Clustering 4.Classification 5.Regression 6.Summarization 7.NLP

7. Machine Learning  Machine learning is the science of getting computers to act without being explicitly programmed.

8. SQL Server Data Mining Spam filtrationGestures understanding in Microsoft Kinect Azure Machine Learning Using Data Mining in search engines Bing Maps started to use ML for traffic estimate Voice recognition Microsoft & Machine Learning 1999201220082004201420102005 Microsoft and Machine Learning

9. 2015 Skype translator  http://www.skype.com/en/translator- preview/ http://www.skype.com/en/translator- preview/  https://www.youtube.com/watch?v=bx3 TuEeNpnc https://www.youtube.com/watch?v=bx3 TuEeNpnc

10. Machine Learning Algorithms AlgorithmBinary Classification in Azure ML Multiclass Classification in AzureML Regression in Azure ML Logistic RegressionTwo-class logistic regression Multiclass Logistic Regression Linear Regression Support Vector MachineTwo-class support vector machine One-vs-all + support vector machine Decision TreeTwo-class boosted decision tree One-vs-all + boosted decision tree Boosted decision tree regression Neural NetworkTwo-class neural network Multiclass neural networkNeural network regression Random ForestTwo-class decision forest Multiclass decision forestDecision forest regression

11. Azure Portal Azure Ops Team ML Studio Data analyst HDInsightAzure StorageDesktop Data Azure Portal & ML API service PowerBI/DashboardsMobile AppsWeb Apps ML API service Developer

12. Demo  Working with Azure ML Studio  Creating basic NER  Working with gallery

13. References  http://blogs.msdn.com/b/microsoft_press/arc hive/2015/04/15/free-ebook-microsoft-azure- essentials-azure-machine-learning.aspx http://blogs.msdn.com/b/microsoft_press/arc hive/2015/04/15/free-ebook-microsoft-azure- essentials-azure-machine-learning.aspx  http://habrahabr.ru/company/microsoft/blog/2 54637/ http://habrahabr.ru/company/microsoft/blog/2 54637/  http://azure.microsoft.com/uk- ua/services/machine-learning/ http://azure.microsoft.com/uk- ua/services/machine-learning/  https://channel9.msdn.com/Tags/machine+le arning https://channel9.msdn.com/Tags/machine+le arning

14. Q&A Oleksandr Krakovetskyi CEO, DevRain Solutions PhD, Microsoft Regional Director @msugvnua alex.krakovetskiy@devrain.com