I’m pretty excited to be heading off to Philly for the 20th Philly .NET Code Camp. One of the best parts of what I do is going out and meeting people, talking about their technology needs, and seeing where we can improve.
I always try to fit a talk (or two) in: this time is no exception. This year the organizers were gracious enough to give me two different slots. One is on machine learning and the other is on data visualization. Here are the details:
| Practical Machine Learning – Recommender Engine and Anomaly Detection |
| Saturday, June 21st, 2014 at 3:00 pm on 4 PA |
| Machine learning is often perceived to be a daunting topic, when in fact its concepts are fairly intuitive and easy to use. This session will introduce nuML machine learning library basics, and will thus address the clustering issue in .NET applications by focusing on the practical real-world applications of recommendation engines and anomaly detection. At the conclusion of this session, attendees will be able to immediately use their unlabeled data to create powerful models for predicting the future based on the past. |
| Principles of Modern Data Visualization |
| Sunday, June 22nd, 2014 at 2:00 pm on 6 DE |
| Data visualizations are intended for summarizing complex information into visually digestible bites in an aesthetically pleasing way; getting them right is difficult work. This session will introduce developers to certain important principles that govern great data visualizations through an example-based collaborative discussion. |
I will also be manning our DevExpress booth should you have any questions. I really want to hear from you!
As always, if there are any comments and/or questions, feel free to get a hold of me!
Seth Juarez
Email: sethj@devexpress.com
Twitter: @SethJuarez
Free DevExpress Products – Get Your Copy Today
The following free DevExpress product offers remain available. Should you have any questions about the free offers below, please submit a ticket via the
DevExpress Support Center at your convenience. We’ll be happy to follow-up.