Intro to Machine Learning

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North Seattle College

9600 College Way North, Room CC1161 · Seattle , wa

How to find us

This is in the 1st Floor of the College Center building, in room 1161. This is located in the southwest corner of the building, with access directly from the parking lots as well as from the courtyard. Signage will be posted on doors to the building.

Location image of event venue

Details

**WHAT IS IT ABOUT?**

Our first Meetup of the[masked] season will be an introduction to Machine Learning (ML). Our guest speakers will aim to answer these key questions:

1. What is ML and how is it related to Artificial Intelligence?

2. What are practical applications of ML?

3. What are major issues / concerns with ML?

4. What are the key skills and technologies involved and where can one research, learn, and apply?

**WHAT IS THE FORMAT?**

We'll have a quick introduction by our host, followed by two guest speakers and then a moderated Q&A panel. There will be time for meeting fellow attendees, speakers, and panelists as well.

**WHO IS SPEAKING?**

Gisselle Yang Xie, Ph. D.
Research Science Manager @ Lyft
https://www.linkedin.com/in/gyxie

Quentin Caudron, Ph. D.
Principal Data Scientist @ CBRE
https://www.linkedin.com/in/qcaudron

**DO I HAVE TO BE AN EXPERT? A STUDENT?**

No and no. This Meetup is open to all who are interested and is meant to be an introduction to the topic.

**WHO IS SPONSORING?**

The Application Development BAS Degree Program at North Seattle College is the sponsor for this event.

**WILL THERE BE FOOD?**

Yes, we will have some snacks and water/beverages.

**HOW SHOULD I GET THERE?**

Room CC1161 is in the southwest corner of the College Center Building at North Seattle College. Look for the Black & White North Seattle Tech Talks signage around the CC Building.

This location is served by several buses and rideshare services. We encourage folks to use public transit and carpool if possible, but parking is available for a small fee on campus. Parking is very limited in the neighborhood surrounding campus.