Skip to Content

Sponsors

No results

Tags

No results

Types

No results

Search Results

Events

No results
Search events using: keywords, sponsors, locations or event type
When / Where
All occurrences of this event have passed.
This listing is displayed for historical purposes.

Information and Technology Services (ITS) pres.

Introduction to Machine Learning

Meghan Richey, Machine Learning Specialist

OVERVIEW
Machine learning is becoming an increasingly popular tool in several fields, including data science, medicine, engineering, and business. This workshop will cover basic concepts related to machine learning, including definitions of basic terms, sample applications, and methods for deciding whether your project is a good fit for machine learning. No prior knowledge or coding experience is required.

INSTRUCTOR
Meghan Richey
Machine Learning Specialist
Information and Technology Services – Advanced Research Computing – Technology Services

Meghan Richey is a machine learning specialist in the Advanced Research Computing-Technology Services department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies, specializing in natural language processing and convolutional neural networks. Before her position at the university, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts.

MATERIALS
Lecture Notes – (coming soon)
A Zoom link will be provided to the participants the day before the class. Registration is required.

Instructor will be available at the Zoom link, to be provided, from 9-10 AM for computer setup assistance.

Please note, this session will be recorded.

If you have questions about this workshop, please send an email to the instructor at richey@umich.edu

Register
Tuesday, October 20, 2020, 10am-12pm: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-machine-learning/register/

Explore Similar Events

  •  Loading Similar Events...
Report Event As Inappropriate Contact Event Organizers
Back to Main Content