AWS Machine Learning Blog

Udacity’s Machine Learning Nanodegree now includes Amazon SageMaker 

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. Udacity created the Intro to Machine […]

An introduction to reinforcement learning with AWS RoboMaker

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 learning (RL), an emerging Machine Learning […]

Use the wisdom of crowds with Amazon SageMaker Ground Truth to annotate data more accurately

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 is large and economical but as […]

The AWS DeepRacer League triple – Three countries, three races and three new champions!

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 17, 2019 as three live racing […]

Analyze content with Amazon Comprehend and Amazon SageMaker notebooks

In today’s connected world, it’s important for companies to monitor social media channels to protect their brand and customer relationships. Companies try to learn about their customers, products, and services through social media, emails, and other communications. Machine learning (ML) models can help address some of these needs. However, the process to build and train […]

Amazon Polly adds Arabic language support

On April 17th, 2019 Amazon Polly launched an Arabic female text-to-speech (TTS) voice called Zeina. This voice is clear and natural-sounding. The voice masters tongue twisters, and it can whisper, just like all other Amazon Polly products. Let’s hear Zeina introduce herself: Listen now Voiced by Amazon Polly Hello, my name is Zeina, I am the […]

Your guide to Amazon re:MARS: Jeff Bezos, Andrew Ng, Robert Downey Jr. and more…  

The inaugural Amazon re:MARS event pairs the best of what’s possible today with perspectives on the future of machine learning, automation, robotics, and space travel. Based on the exclusive MARS event founded by Jeff Bezos, Amazon re:MARS brings together the world of business and technology in a premier thought-leadership event. With more than 100 sessions, […]

Developer at the AWS DeepRacer League Singapore race sets new world record lap time

The AWS DeepRacer League, the world’s first autonomous racing league open to developers of all skill levels held a race in Singapore this week (April 10-11). This was the third of twenty races on the worldwide Summit Circuit.  Following the first two races in Santa Clara, California and Paris, France, excitement was building to see […]

Protagonist adopts Amazon Translate to expand analytics to multilingual content

This is a guest blog post by Bryan Pelley, COO of Protagonist. Protagonist, in their own words “helps organizations communicate more effectively through a data-driven understanding of public discourse.” Protagonist is a pioneer of the art and science of understanding narratives. We define narratives as the beliefs that an audience holds that are  composed of […]

Extending Amazon SageMaker factorization machines algorithm to predict top x recommendations

Amazon SageMaker gives you the flexibility that you need to address sophisticated business problems with your machine learning workloads. Built-in algorithms help you get started quickly.  In this blog post we’ll outline how you can extend the built-in factorization machines algorithm to predict top x recommendations. This approach is ideal when you want to generate […]