PyData Miami 2022

PyData Miami 2022 is a full-day in-person conference happening on September 22nd in Miami, Florida. Learn more: pydata.org/miami2022/

For 30% discount use this link PyData Eventbrite. Or use code SouthFloridaML30: pydata.org/miami2022/tickets/

Speakers & Schedule:
pydata.org/miami2022/schedule/

• William Falcon - Founder and CEO | Lightning AI
• Mark Moyou - Sr. Data Scientist | NVIDIA
• Aleksandra Kalisz - Senior AI Research Scientist | Exscientia
• Noelle Silver Russell - Executive | IBM Consulting
• David Talby - CTO | John Snow Labs
• Alberto Cairo - Knight Chair in Visual Journalism | University of Miami
• Nelson Correa - Founder & CEO | Andinum Inc.
• Bugra Akyildiz - Engineering Leader, Machine Learning | Meta
• Eyal Wirsansky - Senior Data Scientist | Gradle, Inc.
• Brittany Fox - COO | Focus Global Talent Solutions
• Eduardo Blancas - Co-Founder, CEO | Ploomber
• Ido Michael - Co-Founder| Ploomber

About
PyData Miami serves as a space for all data enthusiasts to interact with the community, share their stories and insights, and learn from exceptional speakers.

Tickets
To get 30% discounted tickets enter promo code SouthFloridaML30 here: pydata.org/miami2022/tickets/ or simply use our Eventbrite direct link.

Who we are:
The PyData Miami / South Florida Machine Learning Meetup serves as the Miami chapter of PyData. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other.

What's Miami ML Week?
We're partnering with Data Science Salon (DSS) to bring Miami Machine Learning Week that includes DSS Miami Hybrid Sept 21st and PyData Miami 2022 on Sept 22nd.

Additional Notes:
To follow along with William Falcon's interactive talk, check out the details:

• Title: Speed up your Machine Learning Applications with Lightning AI
• Description: Because most real-world machine learning operates as a black box, it can be challenging for users and regulators to understand the key components of your machine learning solution. In this tutorial, we'll show you how to use a wide variety of interactive components from the machine learning ecosystem to transparently develop and deploy machine learning solutions (what we call a Lightning App). We'll be focusing on popular components used for Training, Servicing, UI, Monitoring, AutoScaling, and Altering in your ML solution, and we'll end by exploring the app creation process together.
• Prerequisites: Sign up or Log in to your Lightning AI account to deploy 3 free ML apps: https://lightning.ai/. Also, if you're new to ML Engineering, check out our education series: https://www.pytorchlightning.ai/edu/engineering-class