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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
Read More Shared by AWS Machine Learning 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
Read More 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
Read More 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
Read More Shared by AWS Machine Learning 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
Read More Shared by AWS Machine Learning 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.
Read More Shared by AWS Machine Learning September 8, 2020
Favorite Amazon Lex is a service for building conversational interfaces into any application using voice and text. To build truly engaging conversational experiences, you need high quality speech recognition and natural language understanding that understands the intent of the customer accurately. We are excited to announce that Amazon Lex now
Read More Shared by AWS Machine Learning September 8, 2020
Favorite Amazon Polly turns text into lifelike speech, allowing you to create voice-enabled applications. We’re excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in Asia Pacific (Singapore), Asian Pacific (Tokyo), EU (Frankfurt), and EU (London) Regions. You can now synthesize over 14 NTTS voices in these
Read More Shared by AWS Machine Learning September 3, 2020
Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation is a form of language translation automation that uses deep learning models to deliver more accurate and natural-sounding translation than traditional statistical and rule-based translation algorithms. The translation service is
Read More Shared by AWS Machine Learning September 2, 2020