Omoju Miller — What really makes a coder? A machine learning approach to the tech pipeline
There is a myth in technology that talent stems from innate ability. Really though it’s a process of learning and hard work.
As seen through history, technology can destabilize the jobs market. This begs the question: what are truck drivers going to do in the age of driverless cars? Omoju Miller’s work puts forward the idea that we can scale adult technical education for workforce readiness while leveraging that opportunity to equalize participation. In her doctoral work at Berkeley she’s taken a machine learning approach into understanding why students choose Computer Science.
Why should you come to this talk?
- Learn how data-driven approaches can be used to confront very thorny social issues
- Get a unique view into the how and why of machine learning
Why should you care?
- You can make informed decisions about what to fund when you approach education funding
- A talented workforce begins in the classroom
Read more about this work here:
- The Myth of Innate Ability in Tech
- CSExperiencePrediction: Part One, Two Birds with One Stone
- CSExperiencePrediction: Part Two
About Omoju Miller
Omoju Miller is a Data Scientist with over a decade of experience in computational intelligence. She has a Ph.D. from UC Berkeley. In the past, she has co-led the non-profit investment in Computer Science Education for Google and served as a volunteer advisor to the Obama administration’s White House Presidential Innovation Fellows. She is considered one of the folks to watch, as part of Bloomberg’s Beta Future Founders program.
Can't join us in person? This event will be streamed at 7pm Eastern.
Tuesday, Feb 7, 2017
6:30-7:00 pm: Registration
7:00-8:00 pm: Presentation
8:00-9:00 pm: Social Hour
Code as Craft participants are expected to abide by our Code of Conduct.