February 26-28, 2020
Montreal, Canada
Machine Learning Model Evaluation Metrics
Choosing the right evaluation metric for your machine learning project is crucial, as it decides which model you’ll ultimately use. How do you choose an appropriate metric? This talk will explore the important evaluation metrics used in regression and classification tasks, their pros and cons, and how to make a smart decision.
Maria Khalusova
Unstructured.io
Maria Khalusova, a Staff Developer Advocate at Unstructured.io, currently works on addressing the challenges of preprocessing complex unstructured data for Generative AI applications, such as Retrieval Augmented Generation. Previously, she contributed to the field through her work on the open-source team at Hugging Face. Maria has co-authored a course on building applications with open source models, and a course on Audio Transformer models, both of which are openly available to all.
Montreal 2020 sponsored by
