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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


Adriano da Silva Bio
LinkedIn

An Applied Introduction to Deep Learning with Python, Tensorflow and Keras

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

The purpose of this presentation is to introduce the subject of Deep Learning along with the basics of popular machine learning frameworks, Tensorflow and Keras, to those with minimal or no experience in the aforementioned subject and technologies. This session provides a high level coverage of some Deep Learning concepts (activation, cost functions, backpropagation, etc) along with practical code demos illustrating the machine learning process flow; including getting, reviewing and preparing data used to train, test and evaluate models to make predictions. The demos include a simple neural network without frameworks; as well as, code using the frameworks in the areas of text analysis, image recognition, etc. Python is the language used for the code but its knowledge is not required; however, a basic understanding of programming constructs, (functions, list, loops, conditionals, etc) is beneficial.


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.


Frank Quintana Bio
Twitter LinkedIn

Data, Information, Knowledge, Wisdom

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

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.





TBD

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






TBD

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