Welcome to another edition of PyData. We are excited to have STAT Search Analytics host the next PyData talk at their offices.
Agenda: Doors open: 5:45pm 5:45-6:20: Meet old friends, make new ones 6:20-6:30: Introductions 6:30-7:45: Talk 7:45-8:00: Follow-up questions 8:00-late: Head to a nearby bar to continue making friends :)
Topic Name: Super Simple Hyperparameter Tuning with Hyperopt and Scikit-Learn
Finding the perfect model for your data set is difficult. Models can require dozens of design decisions, as known as hyperparameters. These hyperparameters can interact with each other in unexpected ways. The only way to evaluate these combinations of hyperparameters is by making a model and testing it, which is expensive. Machine learning practitioners often pick combinations by hand, with frustrating. Hyperopt is a Python library that makes hyperparameter optimization automatic. Hyperopt does this by observing previous combinations of hyperparameters and updating its belief which combination of hyperparameters are most like to achieve good results. Hyperopt-sklearn is a wrapper that makes Hyperopt so simple that you could get excellent results in three lines of code.
Matthew Emery is a data scientist at Imbellus, where he builds models to predict problem-solving ability in job applicants. Before becoming a data scientist, Matthew was a software developer specialized in Python tools for data integration. Matthew has previously given talks on big data model strategies, neural network architectures and hyperparameter optimization.
How To Find Us
STAT Search Analytics is located in Railtown directly next door to Roundhouse Radio. Just a short 10-minute walk East from Gastown at the corner of Alexander & Heatley. Limited bicycle parking is available immediately inside the STAT lobby. Street parking is available throughout the neighbourhood. Unfortunately, the STAT event space is not currently accessible for persons who use a wheelchair. This event is 19+.
Venue, food and drinks provided by our event partner
STAT Search Analytics is a 100% bootstrapped business that has seen great success since launch in 2009 while still holding on to that special weirdness that makes them standout in a sea of startups. The 60-person team is working to build one of the best SEO Analytics products in the world from their headquarters in Railtown. Sound like something you'd like to be part of? We're hiring for a number of roles over at >> https://getstat.com/careers or come talk to us at the meetup!
STAT Search Analytics 704 Alexander Street, Vancouver, BC V6A 1E3 Vancouver
This is a group for users and developers of data analysis tools in Python.
The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.
A goal of PyData groups, events and conferences is to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems. PyData is organized by NumFOCUS.org