How to Develop Convolutional Neural Network Models for Time Series Forecasting

Convolutional Neural Network models, or CNNs for short, can be applied to time series forecasting. There are many types of CNN models that can be used for each specific type of time series forecasting problem. In this tutorial, you will discover how to develop a suite of CNN models for a range of standard time […]

Optimal Shard Placement in a Petabyte Scale Elasticsearch Cluster

The number of shards on each node, and tries to balance the number of shards per node evenly across the clusterThe high and low disk watermarks. Elasticsearch considers the available disk space on a node before deciding whether to allocate new shards to that node or to actively relocate shards away from that node. A […]

Embracing failures and cutting infrastructure costs: Spot instances in Kubernetes

Spot Instances are unused servers that are available for less than the regular price. Therefore, you can significantly save on your infrastructure costs. It does come with a price, though. Your cloud provider can take away your spot instance at any time, and give to another client who has requested it at a standard cost. […]

GraphQL: A success story for PayPal Checkout

At PayPal, we recently introduced GraphQL to our technology stack. At PayPal, GraphQL has been a complete game changer to the way we think about data, fetch data and build applications. This blog post takes a close look at PayPal Checkout and explains our journey from REST to Batch REST to GraphQL and lessons learned […]

Cross shard transactions at 10 million requests per second

Dropbox stores petabytes of metadata to support user-facing features and to power our production infrastructure. The primary system we use to store this metadata is named Edgestore and is described in a previous blog post, (Re)Introducing Edgestore. In simple terms, Edgestore is a service and abstraction over thousands of MySQL nodes that provides users with […]

Learning Concepts with Energy Functions

We’ve developed an energy-based model that can quickly learn to identify and generate instances of concepts, such as near, above, between, closest, and furthest, expressed as sets of 2d points. Our model learns these concepts after only five demonstrations. We also show cross-domain transfer: we use concepts learned in a 2d particle environment to solve […]

20 Best YouTube channels for AI and machine learning

What are the most interesting and informative YouTube channels about artificial intelligence (AI) and machine learning? Subscribe to these 20 high-quality channels today to stay up to date with the latest AI and machine learning breakthroughs. Siraj Raval: The School of AI is a growing learning community that aims to offer a free, world-class AI […]

A Netflix Web Performance Case Study

Netflix is one of the most popular video streaming services. Since launching globally in 2016, the company has found that many new users are not only signing up on mobile devices but are also using less-than-ideal connections to do so. By refining the JavaScript used for Netflix.com’s sign-up process and using prefetching techniques, the developer […]

Modernizing your build pipelines

Doing Continuous Integration is a lot easier if you have the right tools. In our project at a german car manufacturer, we were tasked with developing new services and bringing them to the cloud. We had a centralized Jenkins instance, shared by all the teams in the department. It didn’t fit our needs and made […]

Tensorflow 2.0: models migration and new design

Tensorflow 2.0 will be a major milestone for the most popular machine learning framework: lots of changes are coming, and all with the aim of making ML accessible to everyone. These changes, however, requires for the old users to completely re-learn how to use the framework: this article describes all the (known) differences between the […]