Amazon AWS
DigitalOcean
Microsoft Azure
Linode
GoDaddy
Google Cloud Platform
Vultr
Heroku
Scale Nucleus
PerceptiLabs
Aquarium
ML Image Classifier
Pixave
Google Cloud TPUs
PhotoFinder
Inboard
Amazon AWS Scale NucleusYou could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than Scale Nucleus. While we know about 374 links to Amazon AWS, we've tracked only 2 mentions of Scale Nucleus. 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.
Step 1: Visit AWS Website Navigate to the AWS website and click on the create an AWS account button on the top right corner. - Source: dev.to / 6 days ago
When I first started using AWS, I'd often end up spending a lot more as compared to what my expectation, but since the projects were small and the small differences in run-time did not affect the business function that much I used to overlook it. It was only when we started the first major project that we learnt about polling in AWS Lambda and it has been a lifesaver. On a recently completed project, we are... - Source: dev.to / 6 days ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / 7 days ago
Salesforce is a powerful customer relationship management (CRM) platform that helps organizations manage their sales, marketing, and customer service processes. However, to unlock its full potential, integrating Salesforce with other powerful platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure can provide additional functionalities, streamline processes, and enhance data... - Source: dev.to / 8 days ago
Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 22 days ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Aquarium - Improve ML models by improving datasets they’re trained on
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!
ML Image Classifier - Quickly train custom machine learning models in your browser
