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Hosted by Boston University Questrom School of Business.
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Popular Events
#1
You Have the Data But Can You See the Story? Understanding Visual Intelligence & Data Visualization
#2
Agile Data Science: How Data Scientists and Product Managers Work Together
#3
Transforming Healthcare with Deep Learning
#4
Using AI on Messy Text Data with Examples from the Medical Domain
#5
Cognitive Workflow - How Data Visualization & User Experience Design Combine to Facilitate Effective Reasoning
#6
MinneBOS Kickoff
#7
AI+Blockchain+Human: Things You Didn't Know Could Be Done
#8
Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model
#9
Build and Deploy Custom AI Models at Scale
#10
Clinical Natural Language Processing with Deep Learning
#11
Lunch
#12
Harnessing Behavioral Data to Measure Impact and Predict Outcomes
#13
Taking Advantage of Text for Medical, Financial and Other Modeling
#14
Networking Social
#15
Feature Engineering in the Era of Deep Learning
#16
Unlocking Deep Insights From Unstructured Data Using Automated Data Labeling and NLP
#17
Registration, Networking and Coffee
#18
The Benefits and Dangers of Automated Machine Learning
#19
Using Data Virtualization to Feed Your Analytical and ML Models
#20
New Applications of Corporate Data Science – Talent Analytics
#21
Breaking the Rules: End Stage Renal Disease Prediction
#22
Break
#23
Data Science to Save the Environment
#24
Break
#25
Leveraging Machine Learning to Identify Top Risk Factors of Acute Respiratory Failure
#26
Break
#27
Why Automated Feature Engineering Will Change Machine Learning
#28
Break
#29
Analytic Ops – The Path to Productionized Analytics at Scale
#30
Break
#31
The Art of Analytics
#32
Deep Learning in E-commerce: Building a Deep Learning Capability & Leveraging to Drive Strong Results
#33
Startup Showcase
#34
Artificial Intelligence at the Edge
#35
Predicting the Future and Discovering Opportunities Using Big Data & AI
#36
High Stakes vs Low Stakes AI
#37
There is No Artificial Intelligence Without Information Architecture
#38
Deep Learning Methods to Extract Documentation of Care Preference Conversations for Seriously Ill Patients
#39
Graph Databases - The Tyranny of Choice
#40
"Where Were You on the Night of the 7th When the Fifth Data Point Was Classified Positive?” Comparing a Few Methods for Interrogating Your Classifier
#41
Pitching Data Science to Stakeholders
#42
Analyzing Massive Genomics Datasets using Apache Spark
#43
How Baseball has used Big Data and Technology to Create Winning Teams
#44
Hospital & Physician Rankings: Is Best Better?
#45
Privacy By Design
#46
Surge Pricing under Spatial Spillovers: Evidence from Uber's Operations
#47
To the Cloud! Large Scale Genomics Made Easy
#48
Entity Resolution with Machine Learning
#49
Hiring for a Successful First Data Science Project
#50
How to Avoid Your Looming Machine Learning Crisis
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0 - Panel / Showcase
1 - Business
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Thursday, Aug 23