Favorite Amazon SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Data Wrangler can simplify your data preparation and feature engineering processes and help you with data selection, cleaning, exploration, and visualization. Data Wrangler has over
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Shared by AWS Machine Learning May 7, 2022
Favorite In our daily conversations, we come across new words or terms that we may not know. Perhaps these are related to a new domain that we’re just getting familiar with, and we pick these up as we understand more about the domain. For example, home loan terminology (“curtailment”), shortened
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Shared by AWS Machine Learning May 6, 2022
Favorite In recent years, natural language understanding (NLU) has increasingly found business value, fueled by model improvements as well as the scalability and cost-efficiency of cloud-based infrastructure. Specifically, the Transformer deep learning architecture, often implemented in the form of BERT models, has been highly successful, but training, fine-tuning, and optimizing
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Shared by AWS Machine Learning May 6, 2022
Favorite Approximately 7,000 languages are in use today. Despite attempts in the late 19th century to invent constructed languages such as Volapük or Esperanto, there is no sign of unification. People still choose to create new languages (think about your favorite movie character who speaks Klingon, Dothraki, or Elvish). Today,
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Shared by AWS Machine Learning May 6, 2022
Favorite AWS customers are relying on Infrastructure as Code (IaC) to design, develop, and manage their cloud infrastructure. IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible, while being able to follow best practices in the area of development operations (DevOps). One possible approach to manage AWS
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Shared by AWS Machine Learning May 5, 2022
Favorite Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy can help grow revenue. But losing customers (also called customer churn) is always a risk, and insights into why customers leave can be just as important for maintaining revenues and
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Shared by AWS Machine Learning May 5, 2022
Favorite Reading the printed word opens up a world of information, imagination, and creativity. However, scanned books and documents may be difficult for people with vision impairment and learning disabilities to consume. In addition, some people prefer to listen to text-based content versus reading it. A document-to-speech solution extends the
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Shared by AWS Machine Learning May 3, 2022
Favorite Today, we’re releasing a new solution for financial graph machine learning (ML) in Amazon SageMaker JumpStart. JumpStart helps you quickly get started with ML and provides a set of solutions for the most common use cases that can be trained and deployed with just a few clicks. The new
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Shared by AWS Machine Learning May 3, 2022
Favorite Machine learning (ML) applications are complex to deploy and often require multiple ML models to serve a single inference request. A typical request may flow across multiple models with steps like preprocessing, data transformations, model selection logic, model aggregation, and postprocessing. This has led to the evolution of common
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Shared by AWS Machine Learning May 3, 2022
Favorite Why were the Wright brothers the first to invent the aeroplane? Perhaps because there were two of them, and because they fought all the time. Wilbur and Orville Wright, from wikimedia commons Anyone who is interested in innovation should visit the Basadur Applied Creativity site. There you will find
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Shared by Nick Milton May 3, 2022
Shared by AWS Machine Learning May 7, 2022
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