Difference between revisions of "AWS Forecast"
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| − | [[wikipedia:AWS Forecast]] ([[AWS | + | [[wikipedia:AWS Forecast]] ([[AWS timelineAug 2019) uses [[machine learning]] to combine [[time series]] data with additional variables to build forecasts. |
| − | + | * https://aws.amazon.com/forecast/ | |
== See also == | == See also == | ||
Revision as of 09:21, 22 November 2021
wikipedia:AWS Forecast ([[AWS timelineAug 2019) uses machine learning to combine time series data with additional variables to build forecasts.
See also
- Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms
- AWS, Amazon Managed Services, AWS Management & Governance, computing, security, networking, AWS compliance, AWS Outposts AWS Free Tier, AWS certifications, AWS Trusted Advisor, AWS Systems Manager, AWS Config, IAM Access Analyzer, AWS Cost Explorer, AWS Cost Management, AWS Budgets, AWS Organizations, AWS dev: (CodeStar, Cloud9), AWS Partner Network (APN), AWS Resource Access Manager, AWS Quick Starts, AWS Global Accelerator, AWS Elemental MediaStore, AWS Enterprise support, AWS support, AWS Professional Services Consultants, AWS Cloud Map, AWS Marketplace, AWS CLI, AWS Management Console, AWS acceptable use policy, amazonaws.com, Quotas, AWS Support plans, AWS Resource Explorer, AWS Managed Services (AMS), AWS savings, AWS Nitro System, AWS Activate, Serverless, AWS timeline
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