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Thursday
, August 22
9:30am EDT
Bayesed and Confused: Assessing the Ethical Implications of AI models
Room 408
Did a Machine Write My Talk?
Room 306
Reducing ML prediction uncertainty with systems-thinking in high-stakes events
Room 211
10:30am EDT
A Review of Data Sources used in Sports Analytics
Room 306
Acceleration Solutions for Big Data & HPC
Room 322
Data Science for a Home Insurance Product
Room 211
Deep learning image recognition and classification models for fashion items
Room 406
What do you do with limited data?
Auditorium
11:15am EDT
Multilingual NLP for clinical text: impacting healthcare with big data, globally
Room 306
Regularization and Functional Methods to Predict Nutrients
Room 408
1:00pm EDT
Implementing Data Science - SESSION CANCELED
Room 211
Technical drivers of cloud centralization and megacorporate domination
Room 306
2:00pm EDT
Accelerate delivery of ML-based products
Room 406
Enabling Your Data Science Team with Modern Data Engineering
Room 306
3:00pm EDT
Deep Learning for Radiology Text Report Classification
Room 406
Experiences in using data science and machine learning tasks for K-12 education
Room 404
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MinneBOS - Boston's Field Guide to Data Science & Emerging Tech
America/New York
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Boston University Questrom School of Business, 595 Commonwealth Ave, Boston, MA
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Thursday
, August 22
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Room 211
Room 306
Room 322
Room 404
Room 406
Room 408
Rooms 426 / 428 / 430
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1 - Business
2 - Mostly Business
3 - Mix of Business & Technical
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WORKSHOP
4 - Mostly Technical
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