[IN-PERSON] Databricks demo: transfer learning with MLflow

Our guest speaker for the final 2022 OMLDS in-person event is Dr. Feifei Wang (https://www.linkedin.com/in/feifei-wang--/). Dr. Wang will be presenting a live demo for solving an image classification problem (cats vs dogs) using transfer learning tensorflow package together with MLflow for logging and model registry on Databricks.

Databricks is an industry-leading, cloud-based data analytics/science/engineering platform used for processing and transforming massive quantities of data and exploring the data through machine learning models. It is founded by the creators of Apache Spark. They are also the creators of MLflow (an open source platform for managing the end-to-end machine learning lifecycle).

Dr. Feifei Wang is currently a senior data scientist at the machine learning practice team at Databricks. Her team is highly specialized in customer-facing data science work at Databricks. They deliver professional services engagements to help their customers build, scale, and optimize ML pipelines, as well as teach courses on distributed ML & deep learning. They work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert teams.