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

AI/Virtual and Augmented Reality - Room TBD


Tracks:

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

Timings:

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:

TBD

Schedule:

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 2082 - Speaker Lounge
Room 1049 - IOT Lab - All day





TBD

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



Guy Royse Bio
Twitter LinkedIn

Machine Learning for Gamers: Dungeon Forecasts & Dragon Regressions

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

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
LinkedIn

Machine learning for the real world

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

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.


Adriano da SIlva Bio


Applied Machine Learning with Python

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

The Applied Machine Learning with Python session introduces basic concepts, tools and a workflow used to explore, visualize, develop a model to attain answers from data. 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, and it does not emphasize on the Mathematics behind the ML model, but focus on the utilization of the tools. The examples leverage the Python programming language integration with SQL Server Machine Learning Services (In-Database). 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 you to replicate and use it to expand your knowledge.





TBD

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






TBD

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