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| Nicole Bomar, Sr Manager, Creative Events, AWS | Gabrielle Genevich, Head of Event Technology, AWS

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Learn about the technology behind registration and the 10-year anniversary SWAG. Missed an episode? Watch here Behind the Scenes: Registration and SWAG + Doodle Wall bird’s-eye view LFR002-L/AM, Live From re:InventĪirs live on November, 29 2021 09:00:00 -0500

All Things Automotive: From the Edge to the Cloud | ATA is hosted by AWS Automotive Industry Tech Lead, Dean Phillips and Principal Specialist Solutions Architect, Stefano Marzani, and explores the connection between innovation in the sector and AWS as a core enabler of bringing ideas to the manufacturers, dealerships, and automotive technology builders.

All in the Field: AWS in Agriculture | Our expert AgTech hosts Karen Hildebrand and John Marciniak review innovative applications that bring food to your table using AWS technology.

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IoT All the Things: Builder’s Fair Edition | Our SA Specialist host Tim Mattison takes the series dedicated to showcasing exploratory “side projects” and early stage use cases on the road, where we speak with the creators of some of the most compelling entries in the AWS Builders Fair appearing at re:Invent!.AWS BugBust will be going for the Guinness World Records at re:Invent

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Eliminate software errors and save millions of dollars using Amazon CodeGuru, and win prizes and glory in the first annual AWS BugBust Challenge.

BugBust Hackathon | AWS BugBust is the world’s first global competition for Java and Python developers to collectively fix 1 million bugs.

Voice of the Customer | One-on-one interviews with AWS customers.

Daily Recaps | Did you miss something from the day? Our daily Recaps will give you a quick rundown of what you missed throughout the day.

Get Started | Quick “How To’s“ on getting started with some of the newest launches at re:Invent.

These live episodes are designed for a technical audience and showcase the most interesting and technically creative elements of each architecture.

This is My Architecture (TMA) | This series highlights innovative architectural solutions on the AWS Cloud by customers and partners.

Industry Live | A comprehensive look into different industries.

Community | One-on-one interviews with members of the AWS Community.

Game Day | GameDays are collaborative learning exercises that test skills in implementing AWS solutions to solve real-world problems in gamified, risk-free environments.

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Launch Sessions | Our hosts talk to the teams behind the newest launches at re:Invent and show you demos on how to get started.

This broadcast will be available Monday, Nov 29 through Friday, Dec 3, 24 hours a day. Comparative tests on genome sequences show that our deep learning imputers outperform the state-of-the-art KNN-imputation method when filling gaps in human genome sequences.| Melissa Perincheril, FSI Account Representative, AWS AWS on Air, AWS on AirĪirs live on November, 29 2021 08:00:00 -0500ĪWS on Air features daily livestreams from re:Invent featuring news, demos, interviews, and more. In this paper, after clustering the state-of-the-art imputation techniques into three broad categories, we briefly review the most representative methods and then describe our data imputation proposals, which exploit deep learning techniques specifically designed to handle complex data.

Precisely, they often need critical parameters to be manually set or exploit complex architecture and/or training phases that make their computational load impracticable. However, most of the proposed imputation techniques have not been designed to tackle 'complex data', that is high dimensional data belonging to datasets with huge cardinality and describing complex problems. Not surprisingly, some deep learners, mainly exploiting encoder-decoder architectures, have also been designed and applied to the task of missing data imputation. In the past decade, the successful results achieved by deep learning techniques have opened the way to their application for solving difficult problems where human skill is not able to provide a reliable solution. Abstract : Missing data imputation has been a hot topic in the past decade, and many state-of-the-art works have been presented to propose novel, interesting solutions that have been applied in a variety of fields.

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