Favorite Amazon SageMaker is a fully managed service that allows you to build, train, deploy, and monitor machine learning (ML) models. Its modular design allows you to pick and choose the features that suit your use cases at different stages of the ML lifecycle. Amazon SageMaker offers capabilities that abstract
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Shared by AWS Machine Learning September 11, 2020
Favorite This is a guest post by Anthony Sabelli, Head of Data Science at Kabbage, a data and technology company providing small business cash flow solutions. Kabbage is a data and technology company providing small business cash flow solutions. One way in which we serve our customers is by providing
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Shared by AWS Machine Learning September 11, 2020
Favorite Reports are poor places to keep knowledge. However they do have a role to play in Knowledge Management. Image from wikimedia commonsby user Coolcaesar under CC licence Once upon a time, we relied on reports, papers and books to store our knowledge. This was before the Internet, before networked computers, when
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Shared by Nick Milton September 11, 2020
Favorite This post is written in collaboration with DevFactory, an AWS Select Technology Partner. DevFactory is an enterprise SaaS-focused company that is responsible for innovation, development, and operation of over 120 enterprise products. DevFactory also offers DevGraph, an integrated suite of software development tools built on AWS. Amazon CodeGuru is
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Shared by AWS Machine Learning September 10, 2020
Favorite This guest post was authored by Kazuma Ohara, Director of RENGA Inc., and edited by Yumiko Kanasugi, Solutions Architect at AWS Japan. RENGA Inc. operates Mansion Note, one of Japan’s most popular condominium review and rating websites, which gets over a million unique visitors per month. Mansion Note provides
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Shared by AWS Machine Learning September 10, 2020
Favorite When machine learning (ML) is deployed in production, monitoring the model is important for maintaining the quality of predictions. Although the statistical properties of the training data are known in advance, real-life data can gradually deviate over time and impact the prediction results of your model, a phenomenon known
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Shared by AWS Machine Learning September 10, 2020
Favorite A reprive from the archives – an overview of Connection and Collection as dual components of KM. Image by Marc Smith on Flickr There are two main mechanisms for supporting the flow of knowledge in an organisation – Connecting the people, or Collecting the content. These are sometimes seen
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Shared by Nick Milton September 10, 2020
Favorite TensorBoard is an open-source toolkit for TensorFlow users that allows you to visualize a wide range of useful information about your model, from model graphs; to loss, accuracy, or custom metrics; to embedding projections, images, and histograms of weights and biases. This post demonstrates how to use TensorBoard with
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Shared by AWS Machine Learning September 9, 2020
Favorite Governments know all about supporting traditional economies. So why are they so poor at supporting the knowledge economy? Image from wikimedia commonsby 401(K) 2012, CC licence A “knowledge economy” is a focus for many many governments in the developed world. A knowledge economy is one “where distinctive know-how is
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Shared by Nick Milton September 9, 2020
Favorite In 1993, the Portable Document Format or the PDF was born and released to the world. Since then, companies across various industries have been creating, scanning, and storing large volumes of documents in this digital format. These documents and the content within them are vital to supporting your business.
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Shared by AWS Machine Learning September 8, 2020