AWS での Amazon SageMaker
Amazon SageMaker は、開発者やデータサイエンティストがあらゆる規模の機械學習モデルを短期間で簡単に構築、トレーニング、デプロイできるようにする完全マネージド型プラットフォームです。Amazon SageMaker を使用すると、通常、開発者による機械學習の足手まといになるような障壁をすべて取り除きます。
モデルを構築してトレーニングし、本番環境にデプロイするというプロセスは非常に複雑で多くの時間を必要とするため、ほとんどの開発者は機械學習は思っていたよりもずっと困難であると感じています。まず、トレーニングデータを収集して用意し、重要なデータセットの要素を検出する必要があります。次に、使用するアルゴリズムとフレームワークを選択する必要があります。アプローチを決定したら、予測方法をトレーニングによってモデルに教える必要がありますが、これには多くのコンピューティングが必要です。その後、最適な予測を実現するようモデルを調整する必要がありますが、ほとんどの場合、これには手間と手動による労力がかかります。完全にトレーニングされたモデルを開発したら、そのモデルをアプリケーションに統合し、次いでこのアプリケーションをインフラストラクチャにデプロイしてスケールします。このような作業すべてにおいて、多くの専門知識、大量のコンピューティングやストレージ、プロセスの各部分をテストして最適化するための多くの時間が必要とされます。結局、すべてを実行するのは不可能であるとほとんどの開発者が感じるのも不思議ではありません。
相關推薦
AWS での Amazon SageMaker
Amazon SageMaker は、開発者やデータサイエンティストがあらゆる規模の機械學習モデルを短期間で簡単に構築、トレーニング、デプロイできるようにする完全マネージド型プラットフォームです。Amazon SageMaker を使用すると、通常、開発者による機械學習の足手まといになるよう
PyTorch 1.0 preview now available in Amazon SageMaker and the AWS Deep Learning AMIs
Amazon SageMaker and the AWS Deep Learning AMIs (DLAMI) now provide an easy way to evaluate the PyTorch 1.0 preview release. PyTorch 1.0 adds seam
Segmenting brain tissue using Apache MXNet with Amazon SageMaker and AWS Greengrass ML Inference
In Part 1 of this blog post, we demonstrated how to train and deploy neural networks to automatically segment brain tissue from an MRI scan in a s
AWS Announces New Amazon SageMaker Capabilities and Enhancements
Amazon Web Services recently announced that users now have the ability to build an Amazon SageMaker notebook from the AWS Glue Console and then connect it
Predictive Data Science with Amazon SageMaker and a Data Lake on AWS
This Quick Start builds a data lake environment for building, training, and deploying machine learning (ML) models with Amazon SageMaker on the Am
How to Build an AWS DeepLens Project with Amazon SageMaker
Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So
How to use common workflows on Amazon SageMaker notebook instances
Amazon SageMaker notebook instances provide a scalable cloud based development environment to do data science and machine learning. This blog post
Amazon SageMaker Neural Topic Model now supports auxiliary vocabulary channel, new topic evaluation metrics, and training subsam
In this blog post, we introduce three new features of the Amazon SageMaker Neural Topic Model (NTM) that are designed to help improve user product
Accelerate model training using faster Pipe mode on Amazon SageMaker
Amazon SageMaker now comes with a faster Pipe mode implementation, significantly accelerating the speeds at which data can be streamed from Amazon
Optimizing Kafka: Hardware Selection Within AWS (Amazon Web Services)
Accelerating Kafka in AWSUsing Kafka for building real-time data pipelines and now experiencing growing pains at scale? Then no doubt — like Branch — you a
Training models with unequal economic error costs using Amazon SageMaker
Many companies are turning to machine learning (ML) to improve customer and business outcomes. They use the power of ML models built over “big dat
Amazon SageMaker AI Service
Amazon revealed its SageMaker AI service today, allowing its customers to train machine learning models at massive scale while keeping costs down. Amazon u
Amazon SageMaker automatic model tuning produces better models, faster
Amazon SageMaker recently released a feature that allows you to automatically tune the hyperparameter values of your machine learning model to pro
AWS | Amazon EC2 Dedicated Instances
*This is the average monthly payment over the course of the Reserved Instance term. For each month, the actual monthly payment will equal the a
AWS | Amazon Elastic Transcoder
Amazon Elastic Transcoder manages all aspects of the media transcoding process for you transparently and automatically. There’s no need to admi
AWS | Amazon Mobile Analytics
Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So
AWS(Amazon Web Services)란 무엇입니까?
Amazon Web Services에서 인재를 모집합니다. Amazon Web Services(AWS)는 Amazon.com 내에서 활발하게 성장하고 있는 사업 부문입니다. 현재 소프트웨어 개발 엔지니어, 제품 관리자, 계정 관리자, 솔루션스 아키
AWS (Amazon Web Services)
The migration process took approximately four months and has achieved all its intended benefits. “We now use Amazon ECS to manage when contain
AWS | Amazon Data Pipeline
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as
Machine Learning with Amazon SageMaker and Cloudwick
Cloudwick’s Machine Learning with Amazon SageMaker Platform on Amazon Web Services (AWS) helps developers and business users of all skillsets leve