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Event Date: March 2, 2019 7:30 am - 5:45 pm

AI/Virtual and Augmented Reality - Room 3031


AI/Virtual and Augmented Reality | ASP .Net/Core 1 | ASP .Net/Core 2 | Auditorium | Azure/Cloud 1 | Azure/Cloud 2 | Azure/Cloud 3 | Career / Business Dev | DevOps | IoT 1 | Open Topics 1 | Open Topics 2 | Open Topics 3 | SQL/BI | Web Development 1 | Web Development 2 | Xamarin/Mobile | All


8:30AM-9:40AM | 9:50AM-11:00AM | 11:10AM-12:20PM | 1:20PM-2:30PM | 2:40PM-3:50PM | 4:00PM-5:10PM | All

Agenda download:



7:30am - Registration - South Entrance
8:00am - Keynote - Lobby
8:30am - 9:40am - Session 1
9:50am - 11:00am - Session 2
11:10am - 12:20pm - Session 3
12:20pm - Lunch - Lobby
1:20pm - 2:30pm - Session 4
2:40pm - 3:50pm - Session 5
4:00pm - 5:10pm - Session 6
5:10pm - Wrap-Up - Lobby
6:00pm - After Party! - TBD

Room 3061 - Speaker Lounge

Adriano da Silva Bio

Applied Machine Learning with Python

8:30AM-9:40AM, AI/Virtual and Augmented Reality - Room 3031

The Applied Machine Learning with Python session introduces basic concepts, tools and a machine learning workflow used to explore, visualize, develop models to perform predictions and classifications. This is an introduction designed for those with minimal or no Machine Learning experience. It is also an applied session focused on getting answers from data. It does cover but it does not emphasize the Mathematics behind machine learning models; instead it focus on the workflow, tools and techniques used in a ML practice. The examples leverage the Python programming language integration with SQL Server Machine Learning Services (In-Database) and the Scikit-Learn ML framework. Most importantly, those examples are designed in a manner that are easy to understand and to spur your future exploration, by making it possible for attendees to replicate and use it to expand their knowledge.

Guy Royse Bio
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Machine Learning for Gamers: Dungeon Forecasts & Dragon Regressions

9:50AM-11:00AM, AI/Virtual and Augmented Reality - Room 3031

It’s Friday night and you’re making your character for a fun evening of gaming. You’ve rolled your abilities and even got two 18s. But what class should you pick given your rolls? If you pick that class, is your character playable? What kind of character have you created? Or maybe you’re a game master and you’ve been running a game for some time. Do you need to know how much treasure that dragon hoard should have? Or are you wanting to figure out how many encounters your players will make it through in an evening so you can prepare enough material? These important questions can all be answered using machine learning. Many developers want to make use of machine learning in their applications but aren’t sure what sorts of problems can be solved with it. This talk will explain the sorts of problems that can be solved, what data is required to solve them, and what the results look like. And, we’ll explore it using fun and geeky examples. We will cover five major types of problems that machine learning can solve: regression, classification, anomaly detection, forecasting, and impact analysis. When we’re done, you’ll have a basic understanding of what machine learning can do and what you might want to use it for. It might even be something other than role-playing!

Push Pradhan Bio

Machine learning for the real world

11:10AM-12:20PM, AI/Virtual and Augmented Reality - Room 3031

Faced with developing a machine learning application for classifying safety incidents, I spent hours and hours researching articles, courses and medium blogs, but I was frustrated by the commen theme everywhere: an uneccessarily deep two hour primer on advanced statistical theory, and an overly mathematical approach to the different algorithms, but without anything to really help me understand the use cases and the best way to get started. This led me to develop my own toolkit for a simple explanation of machine learning algorthms, how they work, and what they are best used for. Concepts will be explained with a pragmatic approach, for an audience with basic software development skills. No prior knowledge of data science or statistics is necessary.

Frank Quintana Bio
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Data, Information, Knowledge, Wisdom

1:20PM-2:30PM, AI/Virtual and Augmented Reality - Room 3031

Dr. Deming said "In God we trust, all others must bring data." but what he really wanted to reach was Wisdom! Data is just the raw material the real goal is Wisdom I have been thinking about the chain toward Wisdom (Data-Information-Knowledge-Wisdom) and wonder how many organizations have reached, at least, the level of Knowledge and if any at all have reached the pinnacle of Wisdom. We are drowning in a sea of data and we are starving for wisdom. How is Data Science and Big Data changing our profession? What is a Data Scientist? What is a Data Engineer? What is a Data Analyst? Which skills do we need? How IoT will change our life? An overview of Data Science Techniques and Architecture.

Dwight Goins Bio
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7 Steps to Building Mix Reality Applications

2:40PM-3:50PM, AI/Virtual and Augmented Reality - Room 3031

In this session learn how to get started building Mixed reality applications. This session covers how to build Magic Leap, HoloLens, and Iphone Augmented and Mixed reality applications using various frameworks. We will start with choosing the right platform for the application, choosing the correct framework and the basic steps to create and deploy your first Mixed Reality application.

Mark Sebesta Bio
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VR Development With Unity 3D and C#

4:00PM-5:10PM, AI/Virtual and Augmented Reality - Room 3031

We will develop a VR game/experience using Unity and C#. We'll start with some slides discussing the current state then build a VR experience live from File->New in Unity and Visual Studio with C#.