In this talk, we'll break down the end-to-end process from ideation to producing a trained algorithm that can hear and interpret text being written. In the talk, we'll see how well an algorithm can interpret the sound of written data live. The technical process will include: brainstorming and idea building blocks, building a website to record sound, separating wav files, conversion of wav files to spectrograms, dataset enhancement, and using tools to train, test, and classify different text symbols.
Throughout the talk, there will be a theme of how to both be creative/novel and produce results in your domain, using this as an example. There will be discussion of how to iterate over your own knowledge to come up with and implement your own creative ideas.
We'll learn about
-How to set up ML pipelines and fully implement all pieces of an ML project
-Different ways to represent sound
-How to get creative about machine learning feature engineering and your domains of expertise
-Combine knowledge from different domains into new ideas
Join the Charleston Data Science community at our monthly meetup to discuss all things data. We rotate between introductory topics and deeper dives, and like to discuss anything from visualization to specific domains to neural networks and LLMs.
We meet monthly on the second Thursday at the Charleston Learning Center. This is the default message for our monthly meetups, so if you're reading this and have some data science knowledge to share (or want to give yourself the excuse to dive into a new topic so you can teach the group), please reach out.
Agenda:
- Join us at 5:30 for snacks, drinks, conversation and socializing.
- 6:00 - Main talk(s)
- 7:00 - 7:30 - Wrap up and hang out some more
- 7:30 - ? - After Party*
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"Call for Papers"! .. if you have some knowledge to share with the community, please talk to Dave at the next meetup. We'd love to have 1 or 2 talks per meetup lined up for the coming months.
*After Party? .. The meetup is right next to Revelry Brewing. If folks are interested, we can clean up at the CLC and keep the conversation going over a nice local brew.