Keynotes, demo talks and Career Lab Sessions
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1
ODSC Europe Keynotes
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Data Excellence: Better Data for Better AI by Dr. Lora Aroyo
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Data Science Change Is Inevitable, Growth Is Optional by Dr. Iain Brown
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Machine Learning for Exoplanet Discovery by Dr. David Armstrong
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2
Demo talks
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First Aid Kit for Data Science: Keeping Machine Learning Alive by Véronique Van Vlasselaer, PhD
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eXplainable Predictive Decisioning: Combine ML and Decision Management to Promote Trust on Automated Decision Making by Matteo Mortariand Daniele Zonca
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Build and Deploy Custom AI Predictive Models by Yamini Rao
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A Quick, Practical Overview of KNIME Analytics Platform by Paolo Tamagnin
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Best Practices: Partnerships between ML/AI and Data Labeling Companies by Soo Yang
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An Overview of Algorithmia: the Industry Leading Machine Learning Operations and Management Platform by Kristopher Overholt
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Leverage Data Lineage to Maximize the Benefits of Big Data by Ernie Ostic
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Is Infrastructure Holding Back Adoption of AI at Scale? by Nick Patience
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Revision Control for Structured Data by Gavin Mendel-Gleason
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Sports Analytics - Leveraging Open Source Technology to Improve Athlete Performance by Christopher Connelly
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Sports Analytics - Leveraging Open Source Technology to Improve Athlete Performance by Christopher Connelly
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Annotating Data with AI-assisted Labelling by Eric Landau
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VerticaPy Demo : Building a Prediction Churn Model Using Random Forest & Logistic Regression by Badr Ouali
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Creating Efficiency and Trust with MLOps by Jan van der Vegt
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Build Your Own Cloud Native Covid-19 Data Analytics with Kubernetes and OpenShift by Dr. Mo Haghighi
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Learn How to Seamlessly Use Julia for Your Machine Learning Tasks by Dr. Matt Bauman
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3
Career Lab Talks
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Changing Career Paths: be a Data Scientist! by Bea Hernández
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Demystifying Data Science Roles and Responsibilities by Eva-Marie Muller-Stuler, PhD
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The Data Engineering Path by Daniela Petruzalek
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Who is a Data Scientist? by Behrooz Afghahi
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Navigating Data Science Interviews by Shrilata Murthy
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