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Difinity is the largest Microsoft Data, AI, Power BI, Power Platform and Business Applications Conference in New Zealand focusing on Data Platform, AI, Business Intelligence, Business Applications, Power Platform, and Analytics. IT Decision Makers, Developers, Business Analysts, IT Professionals, BI Managers, BI Professionals, Database Administrators, Architects, Digital & Big Data business leaders, and Consultants will gather for three consecutive days of learning.
There will be 50+ technical sessions delivered by more than 50 speakers from all around the world, including Microsoft Most Valuable Professionals, Microsoft Certified Masters, and Microsoft Corporate’s product teams. Sessions will be split into tracks for Data Platform, Business Intelligence, and Analytics.
50+ Speakers; 10+ from Microsoft, 20+ Microsoft Most Valuable Professionals (MVP), MCMs and Microsoft Certified Architects (MCA). 8 pre-conference workshops at 17th, and 60+ sessions at 18th and 19th of Feb, ending with 8 more post-conference workshops at 20th of Feb 2020.


Monday, February 17 • 9:00am - 5:00pm
Data Science Algorithms

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This seminar explains how the most popular data mining algorithms work, when to use which algorithm, and advantages and drawbacks of each algorithm as well.
Demonstrations show the algorithms usage in SQL Server Analysis Services, R and Python languages and SQL Server Machine Learning Services, Azure ML native algorithms, using R in Power BI, and using the R and Python algorithms in Azure ML. The attendees also learn how to evaluate different predictive and unsupervised models.


Speakers
avatar for Dejan Sarka

Dejan Sarka

Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of the time on training and mentoring. _x000D_ He is the founder of the Slovenian... Read More →


Monday February 17, 2020 9:00am - 5:00pm NZDT
Cliftons Level 4, 45 Queen Street, Auckland CBD, Auckland, New Zealand