This is an event with our partner Microsoft Reactor, hosting events for all developers in our community. REGISTER TO WEBINAR USING THIS LINK
This is an event with our partner Microsoft Reactor, hosting events for all developers in our community.
What is the session about?
Every day new data is created. New parts are made and shipped from factories, people continuously tweet, and companies grow and fluctuate causing major changes in the market. With the addition of more data comes the difficulty of being able to process that data. As humans, we can understand complex scenarios, but computers are much better at being able to analyze large datasets. In this workshop, you will get a glimpse into how we can teach machines to analyze complex scenarios at a much larger scale than we’re able to. We’ll use a cleaned data set to train and test machine learning models and publish your predictor online for others to explore.
Who is it aimed at?
This session is aimed at learners who are interested in learning about how to train and test Machine Learning Models. While you don’t need to have any previous data science experience, ideally you should have at least 1 year of experience coding, preferably in Python.
Why should you attend?
This session is a great intro to Data Science and Machine Learning. We’ll show you the basics of Machine Learning Models and how to build a foundational understanding of these principles.
While you don’t need to have any previous data science experience, ideally you should have at least 1 year of experience coding, preferably in Python.
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care.
He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, machine learning, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries.
He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.
(Wednesday) 13:00 - 14:00