InfoQ Homepage Presentations
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Comparing Machine Learning Strategies Using Scikit-Learn and TensorFlow
Oliver Zeigermann looks at different ML strategies -KNN, Decision Trees, Support Vector Machines, and Neural Networks- and visualizes how they make predictions by plotting their decision boundaries.
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Mythbusting: Every Project Needs to be Automated
Alexandra Nagy discusses if projects need to be automated or not.
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Verifying a Distributed System with Combinatorial Topology
Veronica Lopez shares her experience with containers and Kubernetes, including flexible autoscaling and refined testing & delivery experiences, that make sense within an Elixir environment.
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Code Your Way out of a Paper Bag
Frances Buontempo discusses how to program your way out of the paper bag using machine learning techniques.
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How to Create a Data Science Product from Scratch?
Dmytro Bilash discusses the top five biggest challenges in creating a data science product, compares a product for one client and a scalable one for the whole market, and how to be successful.
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The Agile Journey - It Might Not Be What You Think
Helen Lisowski discusses about how Agile is often viewed as a destination and an end point for an 'Agile Transformation' rather than a journey.
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DevOps Strategy: Let’s Put an End to the “War of the Roses”
Almudena Rodriguez Pardo discusses where people fit into the automating world of DevOps, diving in some of the challenging situations developers and operators face.
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From Robot Simulation to the Real World
Louise Poubel overviews Gazebo's architecture with examples of projects using Gazebo, describing how to bridge virtual robots to their physical counterparts.
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The Road to Artificial Intelligence: An Ethical Minefield
Lloyd Danzig offers a look into the complex ethical issues faced by today's top engineers and poses open-ended questions for the consideration of attendees.
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Panel: Predictive Architectures in Practice
The panelists discuss the unique challenges of building and running data architectures for predictions, recommendations and machine learning.
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Papers in Production Lightning Talks
Papers: Towards a Solution to the Red Wedding Problem, A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, and A Machine Learning Approach to Databases Indexes.
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Winning Hearts and Minds Together: Transforming Careers and Culture at Ocado Technology
Emily Hallard shares Ocado’s successes, challenges and failures, and the impact the company’s transformation is having on their collective mindset.
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