Machine Learning for developers, how to build even more intelligent apps and services

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Description

In this session we explain some of the different machine learning offerings such as Azure Machine Learning, SQL Server R Services, Data Science Virtual Machine, Cognitive Services and Cognitive Toolkit, and Azure Data Lake Analytics from Microsoft through a few comprehensive end-to-end examples that encompass as applicable: problem detection, algorithm selection, machine learning model creation and deployment and consumption of the machine learning model. The session is delivered by an engineer, and it's intended for engineers, so he does not delve into a deep understanding of complex mathematical models behind machine learning, but instead focuses on the concepts of machine learning and resources available to demystify machine learning using Microsoft Azure.

Day:

2

Session Type:

Breakout

Code:

B8068

Room:

WSCC Room 608 (614)

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