Favorite This post was co-written with Dave Gowel, CEO of RallyPoint. In his own words, “RallyPoint is an online social and professional network for veterans, service members, family members, caregivers, and other civilian supporters of the US armed forces. With two million members on the platform, the company provides a
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Shared by AWS Machine Learning April 18, 2023
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML), enabling organizations to provide relevant information to customers and employees, when they need it. Amazon Kendra uses ML algorithms to enable users to use natural language queries to search for information scattered across multiple data souces in
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Shared by AWS Machine Learning April 18, 2023
Favorite Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more. With access to massive amounts of data, LLMs have the
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Shared by AWS Machine Learning April 18, 2023
Favorite Posted by Badih Ghazi, Staff Research Scientist, and Nachiappan Valliappan, Staff Software Engineer, Google Research Recently, differential privacy (DP) has emerged as a mathematically robust notion of user privacy for data aggregation and machine learning (ML), with practical deployments including the 2022 US Census and in industry. Over the
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Shared by Google AI Technology April 18, 2023
Favorite RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and
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Shared by AWS Machine Learning April 17, 2023
Favorite As more businesses increase their online presence to serve their customers better, new fraud patterns are constantly emerging. In today’s ever-evolving digital landscape, where fraudsters are becoming more sophisticated in their tactics, detecting and preventing such fraudulent activities has become paramount for companies and financial institutions. Traditional rule-based fraud
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Shared by AWS Machine Learning April 17, 2023
Favorite “Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. In other words, companies need to move from a model-centric approach to a data-centric approach.” – Andrew Ng A data-centric AI approach involves building
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Shared by AWS Machine Learning April 17, 2023
Favorite Knowledge is born in a three-stage process of reflection on experience; from observations, through insights, to lessons. Experiencing, Learning, Reflecting, by Denise Krebs on Flickr I think most people accept that knowledge is born through reflection on experience. The three-stage process in which this happens is the core of
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Shared by Nick Milton April 17, 2023
Favorite Despite a 25-year history, Open Source is still misunderstood or misrepresented. I still read about developers, a cohort you’d expect to know better, arguing whether software licensed with the GNU GPL is Open Source because “one cannot resell it” (hint: the GNU GPL doesn’t prevent users from selling software.)
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Shared by voicesofopensource April 14, 2023
Favorite Posted by Matthew Streeter, Software Engineer, Google Research Derivatives play a central role in optimization and machine learning. By locally approximating a training loss, derivatives guide an optimizer toward lower values of the loss. Automatic differentiation frameworks such as TensorFlow, PyTorch, and JAX are an essential part of modern
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Shared by Google AI Technology April 14, 2023
Shared by AWS Machine Learning April 18, 2023
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