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Favorite There have been breakthroughs in understanding COVID-19, such as how soon an exposed person will develop symptoms and how many people on average will contract the disease after contact with an exposed individual. The wider research community is actively working on accurately predicting the percent population who are exposed,
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Shared by AWS Machine Learning October 31, 2020
Favorite Every day there is something new going on in the world of AWS Machine Learning—from launches to new to use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each month. Check back at the end of each
Read More Shared by AWS Machine Learning October 31, 2020
Favorite Model training and serving steps are two essential pieces of a successful end-to-end machine learning (ML) pipeline. These two steps often require different software and hardware setups to provide the best mix for a production environment. Model training is optimized for a low-cost, feasible total run duration, scientific flexibility,
Read More Shared by AWS Machine Learning October 31, 2020
Favorite Based on our day to day experience, the information we consume is entirely digital. We read the news on our mobile devices far more than we do from printed copy newspapers. Tickets for sporting events, music concerts, and airline travel are stored in apps on our phones. One could
Read More Shared by AWS Machine Learning October 31, 2020
Favorite Conversational interfaces like chatbots have become an important channel for brands to communicate with their customers, partners, and employees. They offer faster service, 24/7 availability, and lower service costs. By analyzing your bot’s customer conversations, you can discover challenges in user experience, trending topics, and missed utterances. These additional
Read More Shared by AWS Machine Learning October 30, 2020
Favorite Many builders and teams on AWS use Confluence as a way of collaborating and sharing information within their teams and across their organizations. These types of workspaces are rich with data and contain sets of knowledge and information that can be a great source of truth to answer organizational
Read More Shared by AWS Machine Learning October 29, 2020
Favorite Amazon Kinesis Video Streams allows you to easily ingest video data from connected devices for processing. One of the most effective ways to process this video data is using the power of deep learning. You can create an efficient service infrastructure to run these computations with a Java server,
Read More Shared by AWS Machine Learning October 28, 2020
Favorite This post is co-written by Chiranjeev Ghai, ML Engineer at zomato. zomato is a global food-tech company based in India. Are you the kind of person who has very specific cravings? Maybe when the mood hits, you don’t want just any kind of Indian food—you want Chicken Chettinad with
Read More Shared by AWS Machine Learning October 28, 2020
Favorite Applications based on machine learning (ML) can provide tremendous business value. Using ML, we can solve some of the most complex engineering problems that previously were infeasible. One of the advantages of running ML on the AWS Cloud is that you can continually optimize your workloads and reduce your
Read More Shared by AWS Machine Learning October 28, 2020
Favorite The rise of semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by natural language understanding (NLU) allow you to speak or type into a device using your preferred conversational language rather than finding the right keywords for fetching the best
Read More Shared by AWS Machine Learning October 27, 2020