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Favorite As a data scientist attempting to solve a problem using supervised learning, you usually need a high-quality labeled dataset before starting your model building. Amazon SageMaker Ground Truth makes dataset building for a different range of tasks, like text classification and object detection, easier and more accessible to everyone.
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Shared by AWS Machine Learning July 7, 2020
Favorite This is a guest post from members of Cisco’s AI/ML best practices team, including Technical Product Manager Elvira Dzhuraeva, Distinguished Engineer Debo Dutta, and Principal Engineer Amit Saha. Cisco is a large enterprise company that applies machine learning (ML) and artificial intelligence (AI) across many of its business units.
Read More Shared by AWS Machine Learning July 2, 2020
Favorite The AWS Machine Learning Research Awards (MLRA) aims to advance machine learning (ML) by funding innovative research and open-source projects, training students, and providing researchers with access to the latest technology. Since 2017, MLRA has supported over 180 research projects from 73 schools and research institutes in 13 countries,
Read More Shared by AWS Machine Learning July 2, 2020
Favorite Organizations across industries have a large number of physical documents such as invoices that they need to process. It is difficult to extract information from a scanned document when it contains tables, forms, paragraphs, and check boxes. Organization have been addressing these problems with manual effort or custom code
Read More Shared by AWS Machine Learning July 1, 2020
Favorite Sometimes it’s hard to find the right words to describe what you’re looking for. As the adage goes, “A picture is worth a thousand words.” Often, it’s easier to show a physical example or image than to try to describe an item with words, especially when using a search
Read More Shared by AWS Machine Learning June 30, 2020
Favorite This is a guest post from Euler Hermes. In their own words, “For over 100 years, Euler Hermes, the world leader in credit insurance, has accompanied its clients to provide simpler and safer digital products, thus becoming a key catalyzer in the world’s commerce.” Euler Hermes manages more than
Read More Shared by AWS Machine Learning June 30, 2020
Favorite XGBoost is a popular and efficient machine learning (ML) algorithm for regression and classification tasks on tabular datasets. It implements a technique known as gradient boosting on trees and performs remarkably well in ML competitions. Since its launch, Amazon SageMaker has supported XGBoost as a built-in managed algorithm. For
Read More Shared by AWS Machine Learning June 29, 2020
Favorite Named entity recognition (NER) involves sifting through text data to locate noun phrases called named entities and categorizing each with a label, such as person, organization, or brand. For example, in the statement “I recently subscribed to Amazon Prime,” Amazon Prime is the named entity and can be categorized
Read More Shared by AWS Machine Learning June 27, 2020
Favorite It’s quite common to be watching a soccer match and, when seeing a player score a goal, surmise how difficult scoring that goal was. Your opinions may be further confirmed if you’re watching the match on television and hear the broadcaster exclaim how hard it was for that shot
Read More Shared by AWS Machine Learning June 27, 2020
Favorite Have you ever wished that people visiting your home could leave you a message if you’re not there? What if that solution could support your native language? Here is a straightforward and cost-effective solution that you can build yourself, and you only pay for what you use. This post
Read More Shared by AWS Machine Learning June 26, 2020