AWS CloudFormation
AWS Lambda
Bamboo
Codeship
Terraform
Octopus Deploy
CircleCI
Google Cloud Deployment Manager
Google CLOUD AUTOML
Qubole
BigML
TensorFlow
machine-learning in Python
Scikit-learn
RapidMiner
AWS SageMaker Ground Truth
AWS CloudFormation Google CLOUD AUTOMLNo Google CLOUD AUTOML videos yet. You could help us improve this page by suggesting one.
Based on our record, AWS CloudFormation seems to be a lot more popular than Google CLOUD AUTOML. While we know about 113 links to AWS CloudFormation, we've tracked only 6 mentions of Google CLOUD AUTOML. 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.
Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may... - Source: dev.to / 3 months ago
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator. - Source: dev.to / 3 months ago
AWS CloudFormation: Speed up cloud provisioning with infrastructure as code. - Source: dev.to / 3 months ago
Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption,... - Source: dev.to / 4 months ago
Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool. - Source: dev.to / 5 months ago
There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: over 1 year ago
GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
Just outsource the work to Google or Amazon. Source: almost 3 years ago
We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / about 3 years ago
You might want to check out automl Google AutoML. Source: almost 3 years ago
AWS Lambda - Automatic, event-driven compute service
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Bamboo - Bamboo is a continuous integration and deployment tool that ties automated builds, tests and releases together in a single workflow.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.