Understanding the Machine Learning Process and Embedding Models into Apps

Overview

Dive into a 30-minute expert session on understanding the machine learning process and embedding models into applications. Explore the fundamentals of machine learning, including Geometric Brownian motion and PyTorch Lightning. Learn how to build and predict models using PyTorch Lightning, and gain insights into MLOps practices. Discover methods for integrating ML code into DevOps or Kubernetes environments and incorporating models into your applications. Get answers to questions about learning resources and joining the ML community. Perfect for developers looking to operationalize machine learning models and implement MLOps practices in their projects.

Syllabus

- Introduction.
- Understand the ML Process and Embed Models into Apps.
- Machine Learning Overview.
- Geometric Brownian motion (GBM).
- PyTorch Lightning.
- Building a model with PyTorch Lightning.
- Predicting your model.
- MLOps.
- How do you integrate this code in DevOps or Kubernetes?.
- How do you get the model into your app?.
- How can I learn more? Is there a community I can be a part of?.
- Closing Notes.