Machine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such […]
0 CommentsThe capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as weekly sales, daily inventory levels, […]
0 CommentsMachine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is challenging. Years ago, Netflix even ran a movie […]
0 CommentsReinforcement Learning is a type of machine learning that works when an “agent” is allowed to act on a trial-and-error basis within an interactive environment, using feedback from those actions to learn over time in order to reach a predetermined goal or to maximize some type of score or reward. This stands in contrast to […]
0 CommentsIn the last few years, machine learning (ML) has generated a lot of excitement. Indeed, from medical image analysis to self-driving trucks, the list of complex tasks that ML models can successfully accomplish keeps growing, but what makes these models so smart? In a nutshell, you can train a model in several different ways of which […]
0 CommentsAs promised in Welcome to AWS re:Invent 2018, here’s a summary of the launches, previews, and pre-announcements from Monday Night Live! Launches Here are detailed blog posts & whats new pages for tonight’s launches: AWS Global Accelerator for Availability and Performance. Use an AWS Transit Gateway to Simplify Your Network Architecture. C5n Instances with 100 […]
0 CommentsOne of my favorite Amazon Leadership Principles is Customer Obsession. When we launched AWS Lambda, we focused on giving developers a secure serverless experience so that they could avoid managing infrastructure. In order to attain the desired level of isolation we used dedicated EC2 instances for each customer. This approach allowed us to meet our […]
0 CommentsWe launched the powerful, compute-intensive C5 instances last year, and followed up with the C5d instances earlier this year with the addition of local NVMe storage. Both instances are built on the AWS Nitro system and are powered by AWS-custom 3.0 Ghz Intel® Xeon® Platinum 8000 series processors. They are designed for compute-heavy applications such […]
0 CommentsEarlier this year I told you about the AWS Nitro System and promised you that it would allow us to “deliver new instance types more quickly than ever in the months to come.” Since I made that promise we have launched memory-intensive R5 and R5d instances, high frequency z1d instances, burstable T3 instances, high memory […]
0 CommentsIt is safe to say that Amazon Virtual Private Cloud is one of the most useful and central features of AWS. Our customers configure their VPCs in a wide variety of ways, and take advantage of numerous connectivity options and gateways including AWS Direct Connect (via Direct Connect Gateways), NAT Gateways, Internet Gateways, Egress-Only Internet […]
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