A Technology Broker and Management Company Specializing in KM Systems
Favorite The AWS DeepRacer League is the first of its kind global autonomous racing league, providing developers of all skill levels with the opportunity to get hands-on with machine learning and have fun doing it. In another first for the AWS DeepRacer League, the race went truly global on April
Read More
Shared by AWS Machine Learning May 30, 2019
Favorite Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for machine learning (ML). To get your data labeled, you can use your own workers, a choice of vendor-managed workforces that specialize in data labeling, or a public workforce powered by Amazon Mechanical Turk. The public workforce
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Robotics often involves training complex sequences of behaviors. For example, consider a robot designed to follow or track another object. Although the goal is easy to describe (the closer the robot is to the object, the better), creating the logic that accomplishes the task is much more difficult. Reinforcement
Read More Shared by AWS Machine Learning May 30, 2019
Favorite During the past few years, the demand for machine learning specialists and engineers has soared. These two roles now rank among the top emerging jobs on LinkedIn. More recently, machine learning is being adopted by a wide range of industries, from medical diagnostic companies to finance firms and more.
Read More Shared by AWS Machine Learning May 30, 2019
Favorite The new release of MXNet 1.4 for Amazon Elastic Inference now includes Java and Scala support. Apache MXNet is an open source deep learning framework used to build, train, and deploy deep neural networks. Amazon Elastic Inference (EI) is a service that allows you to attach low-cost GPU-powered acceleration
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Even in today’s highly digital workplace, documents are often manually processed in many enterprise workflows, including workflows in financial services. Alkymi, founded by a team from Bloomberg and x.ai, enlists automation to streamline this laborious and error-prone work. Using deep learning models hosted on Amazon SageMaker, Alkymi identifies patterns
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Today, we introduce four new features of Amazon SageMaker Object2Vec: negative sampling, sparse gradient update, weight-sharing, and comparator operator customization. Amazon SageMaker Object2Vec is a general-purpose neural embedding algorithm. If you’re unfamiliar with Object2Vec, see the blog post Introduction to Amazon SageMaker Object2Vec, which provides a high-level overview of the
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Good machine learning models are built with large volumes of high-quality training data. But creating this kind of training data is expensive, complicated, and time-consuming. To help a model learn how to make the right decisions, you typically need a human to manually label the training data. Amazon SageMaker
Read More Shared by AWS Machine Learning May 30, 2019
Favorite It’s been a busy week for the AWS DeepRacer League. The world’s first global autonomous racing league allows machine learning developers of all skill levels to get hands-on with machine learning in a fun and exciting way. On April 29 2019, the virtual circuit of the AWS DeepRacer League
Read More Shared by AWS Machine Learning May 30, 2019
Favorite Machine learning (ML) workflows orchestrate and automate sequences of ML tasks by enabling data collection and transformation. This is followed by training, testing, and evaluating a ML model to achieve an outcome. For example, you might want to perform a query in Amazon Athena or aggregate and prepare data
Read More Shared by AWS Machine Learning May 30, 2019