What's so amazing about Synthetic Data?

From Data Science and Machine Learning to Software Engineering and testing, access to accurate data is one of the biggest bottlenecks hindering development.

Developers need accurate, relevant data to safely experiment when building applications, machine learning models, testing, etc. However, developers often run into issues gathering data, from a lack of data to the inability to access the data due to privacy policies.

But what if you could have instant access to an unlimited supply of high-fidelity data that are statistically accurate, privacy-protected, and safe to share? This is where Synthetic Data comes in.

Join us in June when Mason Egger, developer advocate of Gretel, introduces us to the fantastic concept of synthetic data.

In this beginner-friendly talk, you'll learn about Synthetic Data, the problems it solves, and how to get started generating as much relevant data as you want.

We'll discuss what Synthetic Data is, the benefits of using it, and its efficacy. Then, you'll see real-world situations where Synthetic Data removes bias, augments data sets, and makes once private data easily shareable while still protecting the privacy of the initial data set.

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PyRVA Meets twice a month. Feel free to come early and ask questions or hang out. After each meeting, we will generally hang out for a bit and can also answer any questions at that time.

Lecture Night: 2nd Wednesday of the month
We bring speakers in from around the country to teach us something new about Python. You'll be able to ask the speaker(s) any questions you have on the topic.
Let us know if you would like to present at a future meeting! https://forms.gle/q8w3xziArWjud5f67

Coding Night: 4th Thursday of the month
Here you will find the Python challenge problems and projects we will solve together in small groups. Please contact an organizer if you're interested in proposing a project or topic.