Favorite Open-source workflow managers are popular because they make it easy to orchestrate machine learning (ML) jobs for productions. Taking models into productions following a GitOps pattern is best managed by a container-friendly workflow manager, also known as MLOps. Kubeflow Pipelines (KFP) is one of the Kubernetes-based workflow managers used

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Shared by AWS Machine Learning March 3, 2021

Favorite You have Amazon Simple Storage Service (Amazon S3) buckets full of files containing incoming customer chats, product reviews, and social media feeds, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts or sad thoughts, translate their comments

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Shared by AWS Machine Learning February 27, 2021

Favorite In our Community Showcase, Amazon Web Services (AWS) highlights projects created by AWS Heroes and AWS Community Builders.  We worked with AWS Machine Learning (ML) Heroes and AWS ML Community Builders to bring to life projects and use cases that detect custom objects with Amazon Rekognition Custom Labels. The

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Shared by AWS Machine Learning February 26, 2021

Favorite Data can be used in a variety of ways to satisfy the needs of different business units, such as marketing, sales, or product. In this post, we focus on using data to create personalized recommendations to improve end-user engagement. Most ecommerce applications consume a huge amount of customer data

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Shared by AWS Machine Learning February 26, 2021

Favorite Even in this digital age where more and more companies are moving to the cloud and using machine learning (ML) or technology to improve business processes, we still see a vast number of companies reach out and ask about processing documents, especially documents with handwriting. We see employment forms,

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Shared by AWS Machine Learning February 25, 2021

Favorite TensorFlow is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, resulting in expensive training time and model sizes up to a few gigabytes. After they’re trained, these models are

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Shared by AWS Machine Learning February 25, 2021

Favorite In this tutorial, we will walk through the entire machine learning (ML) lifecycle and show you how to architect and build an ML use case end to end using Amazon SageMaker. Amazon SageMaker provides a rich set of capabilities that enable data scientists, machine learning engineers, and developers to

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Shared by AWS Machine Learning February 24, 2021

Favorite This is a guest post authored by Ben Rigby, the VP, Global Head of Product & Engineering, Artificial Intelligence and Machine Learning at Talkdesk. Talkdesk broadens contact center machine learning capabilities with AWS Contact Center Intelligence. At Talkdesk, we’re driven to reduce friction in the customer journey. Whether that’s

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Shared by AWS Machine Learning February 24, 2021

Favorite Time series forecasting is an approach to predict future data values by analyzing the patterns and trends in past observations over time. Organizations across industries require time series forecasting for a variety of use cases, including seasonal sales prediction, demand forecasting, stock price forecasting, weather forecasting, financial planning, and

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Shared by AWS Machine Learning February 19, 2021

Favorite This post is co-authored by Jiahang Zhong, Head of Data Science at Zopa.  Zopa is a UK-based digital bank and peer to peer (P2P) lender. In 2005, Zopa launched the first ever P2P lending company to give people access to simpler, better-value loans and investments. In 2020, Zopa received

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Shared by AWS Machine Learning February 19, 2021