Favorite This is a guest post from James Jameson, the Commercial Lead at CaptionHub. CaptionHub is a London-based company that focuses on video captioning and subtitling production for enterprise organizations. While the act of captioning—that is, taking video files and making sure the text on the screen reflects what’s being
Favorite If you’re like most companies, you wish to better understand your customers and your brand image. You’d like to track the success of your marketing campaigns, and the topics of interest—or frustration—for your customers. Social media promises to be a rich source of this kind of information, and many
Favorite Machine learning (ML) lets enterprises unlock the true potential of their data, automate decisions, and transform their business processes to deliver exponential value to their customers. To help you take advantage of ML, Amazon SageMaker provides the ability to build, train, and deploy ML models quickly. Until recently, if
Favorite AWS DeepRacer, launched at re:Invent 2018, helps developers get hands on with reinforcement learning (RL). Since then, thousands of people have developed and raced their models at 21 AWS DeepRacer League events at AWS Summits across the world, and virtually via the AWS DeepRacer console. Beyond the summits there
Favorite Machine learning (ML) is routinely used by countless businesses to assist with decision making. In most cases, however, the predictions and business decisions made by ML systems still require the intuition of human users to make judgment calls. In this post, I show how to combine ML with sensitivity
Favorite The AWS DeepRacer League is the world’s first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the hands of every developer in a fun and exciting way. Since March 2019, thousands of developers of all skill levels have competed for the chance
Favorite Accenture has a rich history of helping customers all over the world build artificial intelligence (AI) and machine learning (ML) powered solutions with AWS services. In doing so, they always look for new and engaging ways to develop their teams with the appropriate level of enablement and hands-on training.
Favorite Accenture has a rich history of helping customers all over the world build artificial intelligence (AI) and machine learning (ML) powered solutions with AWS services. In doing so, they always look for new and engaging ways to develop their teams with the appropriate level of enablement and hands-on training.
Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for
Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for