The Hillsboro Python Machine Learning Meetup is the Data Scientists user group for best practices and advanced Machine Learning using Python Data Stack in Hillsboro-Beaverton area. We bring together Python Data Scientists to present, discuss and learn about Machine Learning algorithms today. Our meetings are typically held on the last Tuesday of every month and include networking, presentation, questions/answers discussion, coding and learning sessions. If you really want to learn about the best practices of Machine Learning today come to our meetup every month.
6:00 – 6:40 pm: Pizza, water and networking.
6:40 – 6:45 pm: Welcome message by Ernest Bonat, Ph.D.
6:45 – 8:15 pm: Presentation and open discussions. “Fast Machine Learning Hyperparameters Model Optimization using Hyperopt” by Ernest Bonat, Ph.D., Senior Data Scientist.
Hyperopt (Distributed Asynchronous Hyperparameter Optimization in Python) - is a Python library for optimizing over awkward search spaces with real-valued, discrete, and conditional dimensions. Currently two algorithms are implemented in hyperopt: 1.Random Search and 2.Tree of Parzen Estimators (TPE). We’ll be covering the second one TPE in details. Hyperopt Installation and Regression/Classification real examples will be provided. After you understand and learn this tool, you’ll never use GridSearchCV/RandomizedSearchCV from scikit-learn framework anymore.