Data Science Research Tracks
Rapid Pace of Advancement
Data Science is a broad field and advancing at a tremendous pace. Every few months new research, models, and advances are announced. For data science practitioners it’s essential to keep abreast of the latest advances. However, given the demands on our time that can be a daunting task.
The Most Advanced Research, Summarized
The Data Science Research track is the first of its kind. Instead of having to parse the contents of countless papers or attend academic conferences we bring the best to you. World-class academics, researchers, and professionals summarize the latest research across focus areas and detail what’s important. This accelerates your insights on the latest research and serves as a foundation for more in-depth analysis.
Some of Our Current Speakers
Sessions on Data Science Research Track
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Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability
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Talk: Adversarial Attacks on Deep Neural Networks
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Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow
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Workshop: Machine Learning for Digital Identity
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Talk: Adding Context and Cognition to Modern NLP Techniques
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Training: Good, Fast, Cheap: How to do Data Science with Missing Data
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Workshop: Open Data Hub workshop on OpenShift
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Talk: Practical AI solutions within healthcare and biotechnology
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Training: Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale
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Workshop: Reproducible Data Science Using Orbyter
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Talk: Combining millions of products into one marketplace using computer vision and natural language processing
Why Attend?
Who Should Attend
The Data Science Research track will prove invaluable to those of us looking to quickly understand in detail the topics that matter most in data science now
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Experienced data scientists
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Students and academics
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Software engineers and architects
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Business professionals interested in data science advancements
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Experts from other domains looking to leverage data science
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Beginners interested in the latest research
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Researchers from academia and industry
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Industry professionals
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Technologists interested new data science applications
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Industry experts looking to access the impact of data science