Developer Advocate - Machine Learning / Artificial Intelligence (Microsoft)
Paige Bailey is a Sr. Cloud Developer Advocate specializing in machine learning and artificial intelligence. Paige’s education was focused on the earth sciences (geophysics, carbonate geology) and computer science (data analytics); and her previous work experience was geared toward drilling and completions optimization, data science, and geophysical plug-in development for the energy industry. When Paige is not sitting in front of glowing rectangular screens at work, she absolutely adores hiking / kayaking / mountain-biking around Texas’ glorious Green Belt; resuscitating Apples; and (poorly!) attempting to play bass guitar. Personal passions are sustainable energy and climate change research; STEM education reform; and empowering local governments via data science.
“Our planet is facing the greatest problems it’s ever faced, ever. So whatever you do, don’t be bored; this is absolutely the most exciting time we could have possibly hoped to be alive. And things are just starting.” Hundreds of mission-driven organizations and communities are tackling complex social issues like poverty, global warming and public health. Many of those institutions have a wealth of unexplored data that could provide insights and facilitate impact — but they don’t have the time or programming skills required to leverage it. That’s where you come in. As a software engineer or a data scientist, you have the unique power to move the needle on critical issues; to be a real-life superhero! This talk will detail how you can get involved with socially impactful data projects, today, no matter what your skill or experience level. You will walk away with a list of organizations in need of assistance, as well as a detailed list of open data sources for your projects. Together, let’s use Python to make the world a better place.
Are you wanting to get started with data science, but don't know where to begin? This talk with give an in-depth assessment of the strengths and weaknesses of open-source Python and R tools for data science, machine learning, and artificial intelligence.