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PDX Women in Tech (PDXWIT) Introduction to Machine Learning Workshop, Part 2

Avea Solutions 160 NE 6th Ave. #400 Portland, OR 97232
160 NE 6th Ave. #400 Portland, OR 97232
Portland, OR 97232, United States (map)
Public WiFi

4th Floor, Suite #400



We highly encourage taking public transportation or carpooling. There is limited parking around Avea Solutions.

Join Andrew Ferlitsch and Ernest Bonat, Ph.D., from the Portland Data Science Group for an introduction into Machine Learning fundamentals. Mostly focused on the concepts, this workshop will be intermixed with some Python programming examples. We will cover Linear and Logistic Regression analysis using scikit-learn Machine Learning framework. All skill levels welcome; just bring your Windows or Mac laptops. Follow the Python Laptop Setup document for Data Science projects development.

Note: This is the second workshop in a three-part series.

Did you miss the Introduction to Machine Learning Pt. 1? No problem, check out http://www.labs.earth/ and click the presentations button and look for:

Introduction to Machine Learning
Introduction to Tensor Flow
Introduction to Dynamic Programming

5:00 p.m. - Doors
5:15 p.m. - Workshop beings
6:45 p.m. - Data Regression Demo
7:15 p.m. - Q&A

Python Laptop Setup for Data Science Projects Development

1.) Install Java SE Development Kit 8
2.) Install Eclipse IDE for Java EE Developers
3.) Install PyDev plugin - Python IDE for Eclipse (in Eclipse, select Help menu, click on Eclipse Marketplace, search for PyDev plugin and install it.)
4.) Install Anaconda package

Please see EventBrite page for download urls of the packages listed above. Feel free to contact Ernest by email [email protected] at any time you need.

Purpose: PDXWIT is a community-based non-profit organization. Our purpose is to strengthen the Portland women in tech community by offering educational programs, partnerships, mentorships, resources and opportunities. We are unifying a supportive environment for current and potential women in tech, all of whom are committed to helping each other. Our goal is to bring together and empower women in tech and to encourage others to pursue tech careers. This is our step towards reducing the gender imbalance in the industry and addressing the current negative effects of that imbalance on women.

Trans and non-binary people are always welcome at our events.