Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Mario Inchiosa

Mario Inchiosa
Principal Software Engineer, Microsoft

Mario Inchiosa is a principal software engineer at Microsoft, where he focuses on scalable machine learning and AI. Previously, Mario served as Revolution Analytics’s chief scientist; analytics architect in IBM’s Big Data organization, where he worked on advanced analytics in Hadoop, Teradata, and R; US chief scientist in Netezza Labs, bringing advanced analytics and R integration to Netezza’s SQL-based data warehouse appliances; US chief science officer at NuTech Solutions, a computer science consultancy specializing in simulation, optimization, and data mining; and senior scientist at BiosGroup, a complexity science spin-off of the Santa Fe Institute. Mario holds bachelor’s, master’s, and PhD degrees in physics from Harvard University. He has been awarded four patents and has published over 30 research papers, earning publication of the year and open literature publication excellence awards.

Sessions

11:00am–11:40am Wednesday, March 27, 2019
Building high-performance text classifiers on a limited labeling budget
Data Science, Machine Learning & AI
 Location: 2010
Secondary topics:  AI and Data technologies in the cloud, Text and Language processing and analysis
Robert Horton (Microsoft), Mario Inchiosa (Microsoft), Ali Zaidi (Microsoft)
Average rating: ****.
(4.70, 10 ratings)
Robert Horton, Mario Inchiosa, and Ali Zaidi demonstrate how to use three cutting-edge machine learning techniques—transfer learning from pretrained language models, active learning to make more effective use of a limited labeling budget, and hyperparameter tuning to maximize model performance—to up your modeling game. Read more.