About our Instructor:
Ana obtained her PhD in Physics before becoming a postdoctoral fellow at the Rockefeller University where she worked on developing and implementing an underwater touchscreen for dolphins. Now she combines her love for coding and teaching as a Data Scientist in Residence. She spends her free time doing pottery, sometimes climbing, and every now and then scuba diving.
We’ve got a double-feature webinar this month! Instructor Ana Hocevar will kick us off to talk about what being a woman in STEM is like and open up about our commitment to diversify the STEM field – starting with data science!
You’ll hear about Ana’s journey before she launches into a 30-minute live practical data science demo to show off the skills she’s learned during her time as a data scientist.
Learn how to use Python’s SciPy library to find an optimum when we have a quantity we want to maximize (such as revenue) or minimize (some cost, an error rate, etc) while subject to some form of constraints.
In this live webinar, Ana will show you the steps to:
- Perform simple optimization when our optimization problem is not subject to any constraints
- Use linear programming – solve optimization subject to linear constraints
- Perform nonlinear optimization in cases when the constraints or the objective function are nonlinear