Build predictive models in Machine Learning

Track: R2D2
Skill Level: Beginner
Room: Room A303
Time Slot: Thu 2/23, 4:00 PM
Tags: machine learning , r , python
Abstract

This session covers how to build and drive insights from data by building machine learning models. The session covers how to develop and train models in Python/R using Azure Machine Learning. The session covers how to explore key concepts in data acquisition, preparation, exploration, and visualization, and take a look at how to build a predictive solution using Azure Machine Learning, R, and Python. The session covers tips and tricks on selecting the right algorithm for your data science problem and how to utilize Machine Learning to solve it.

Mostafa Elzoghbi

Mostafa Elzoghbi is a Microsoft Sr. Technical Evangelist based in DC. Mostafa is specialized in Azure architecture and development, Office 365 development and administration, .NET development, and enterprise product development. I am an experienced architect in building cloud based solutions and a data nerd.
Prior to joining Microsoft, Mostafa was awarded a Microsoft Most Valuable Professional (MVP) award for five consecutive years. Mostafa holds a M.Sc. of Computer Science and holds several Microsoft certifications.

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