Over the past decade, Machine Learning has been increasingly gaining popularity as a major buzz word in academic and industrial communities. Machine Learning has been at the core of many of today’s applications and services, from consumer products to large research projects. Despite its popularity, there is a lot of uncertainty to many about what exactly it is; how it is different from other technologies; what are the limits of its applications, etc. This course aims to explore these questions without going too much into the technical details of how machine learning works. The course will cover how to know when and why to consider using a machine learning solution and will include hands-on training on using a free no-coding tool, Weka, for Machine Learning prototyping.

This is an introductory course; no background is necessary. You will need access to a computer to participate in the activities; instructions on software installation will be sent in advance.

If you need credit for this workshop through the PDN for the computer refresh program, please register here and at https://profdev.tlos.vt.edu/; contact ndporter@vt.edu if you can't find the course listed.

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu during regular business hours at least 10 business days prior to the event.

[Image by Enoch Lau - (screenshot of GPL software), GPL, https://commons.wikimedia.org/w/index.php?curid=1982855]

Facing a change-of-plans for your interview or focus-group data collection because of the Covid-19 pandemic? Learn how you can use remote hosting, recording and transcription tools to collect your qualitative audio or video data, get hands-on practice with VT’s free video and transcription tools, and start planning your own collection and transcription workflow.

The workshop introduces common approaches and issues in collecting and transcribing audio/visual data. It introduces automatic tools such as Kaltura, Otter and YouTube as well as manual options. Participants will practice using Kaltura to request and edit transcripts and create personalized plans for A/V data collection, transcription and preparation suited to their own potential projects.

This is an introductory workshop: you do not need experience, data, or a project to participate. Anyone can register, but you will need a VT login to participate in the activities.

All workshops in the Data Education Series are available online via Zoom; links will be sent when you register.

If you need credit for this workshop through the PDN for the computer refresh program, please register here and at https://profdev.tlos.vt.edu/.

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu during regular business hours at least 10 business days prior to the event.

Like it or not, organization is a key part of academic success. Save time and reduce stress by developing a plan to organize your digital stuff, from class assignments to family photos.

Join us for the Student Success Center's October Success Seminar series! After this hour-long workshop cohosted by the Student Success Center and the University Libraries, you will be able to:

• Apply organizational principles to data/information/media

• Create a plan to preserve, maintain, and sunset data/information/media

Please log onto the event using the Student Success Center Zoom link: HTTPS://VIRGINIATECH.ZOOM.US/J/9779
0610941

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu at least 10 business days prior to the event.