From experiments to automation: apply MLOps to Natural Language Processing
API
• May 2021
From experiments to automation: apply MLOps to Natural Language Processing
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From experiments to automation: apply MLOps to Natural Language Processing
About
In AI, data scientists first start with a problem statement and a dataset. The data is cleaned and pre-processed, a metric of performance is selected, a lot of feature engineering and fine-tuning are involved before we finally reach an acceptable model. Machine learning automation enables data scientists to manage this lifecycle. Join this session to learn how to set up an MLOps pipeline applied to a Natural Language Processing use case.
Language
English
Level
Beginner
Length
34 minutes
Type
online conference
About the speaker
About the speaker
Andrea Belli
Head of R&D •
EXPERT.AI
As the Head of R&D, Andrea is responsible for the technology and component development for the expert.ai AI-based NLP platform. He has held previous roles as the Director of Professional Services for North America and Asia Pacific, and as product manager for the company’s flagship development tool for categorization and entity extraction. Andrea previously worked for Telecom Italia's R&D division, contributing to the evolution of content-to-person services over convergent networks. Andrea holds a Master's degree in computer engineering from Modena University, Italy
Details
Language
English
Level
Beginner
Length
34 minutes
Type
online conference
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