Based on our record, Jenkins should be more popular than Amazon Machine Learning. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / about 2 months ago
CloudBees Jenkins Platform is a commercial offering from CloudBees, it is not the Jenkins project itself (which is open source). Jenkins is alive and well. See https://jenkins.io. Source: about 1 year ago
Ok. I'm talking about this: https://jenkins.io/. Source: over 1 year ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Saw this new blog post on jenkins.io which is really cool. Basically it is a free tool that you can use to help make sure your Jenkins system is managed well. Source: almost 3 years ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
Lobe - Visual tool for building custom deep learning models
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
Apple Machine Learning Journal - A blog written by Apple engineers
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.