philly.NET Code Camp 2019.2

October 18-19 | Microsoft MTC | Malvern, PA
About philly.NET Code Camp 2019.2

philly.NET Code Camp 2019.2 is the second semi-annual Code Camp of 2019. Philly .NET's CodeCamp is a two-day gathering of professionals working with .NET technologies in the Philadelphia area and beyond.

Conference Location

Microsoft MTC

Malvern, PA

Here's what we are talking about!
Real-Time Stream Analytics <3 Machine Learning
By Alexander Slotte
Real-Time Stream Analytics <3 Machine Learning
By Alexander Slotte
Presentation time
October 18th
8:30a.m.
Register Now!

It’s imperative in today’s world to be able to make split-second decisions based on real-time data. Reports based on batch data are great for looking back at trends and potentially making long-term decision, but old data is in many cases already obsolete, and the opportunity to have an actionable impact on the success of a specific process may have been lost. Furthermore, incorporating machine learning algorithms in your real-time data pipeline enables you to derive great insight on the fly and truly set your organization up for your success.

The best part, it is not as difficult as you may think!

In this workshop we will cut through all the foreign jargon and give participants a solid machine learning and stream processing foundation.

By the end of the workshop you will be able to:
• Understand the basics of Machine Learning and Deep Learning
• Train custom machine learning models using
- ML.NET
- AutoML
- Azure Machine Learning Service
- Jupyter Notebooks with ScikitLearn/Pandas and Numpy
• Deploy your machine learning models to an Azure Function and/or Kubernetes cluster
• Setup a real-time data pipeline using Azure Stream Analytics
• Understand the concept of temporal windows
• Integrate your machine learning models into your data pipeline

Real-Time Stream Analytics <3 Machine Learning
By Alexander Slotte

It’s imperative in today’s world to be able to make split-second decisions based on real-time data. Reports based on batch data are great for looking back at trends and potentially making long-term decision, but old data is in many cases already obsolete, and the opportunity to have an actionable impact on the success of a specific process may have been lost. Furthermore, incorporating machine learning algorithms in your real-time data pipeline enables you to derive great insight on the fly and truly set your organization up for your success.

The best part, it is not as difficult as you may think!

In this workshop we will cut through all the foreign jargon and give participants a solid machine learning and stream processing foundation.

By the end of the workshop you will be able to:
• Understand the basics of Machine Learning and Deep Learning
• Train custom machine learning models using
- ML.NET
- AutoML
- Azure Machine Learning Service
- Jupyter Notebooks with ScikitLearn/Pandas and Numpy
• Deploy your machine learning models to an Azure Function and/or Kubernetes cluster
• Setup a real-time data pipeline using Azure Stream Analytics
• Understand the concept of temporal windows
• Integrate your machine learning models into your data pipeline