Manage your Amazon Fraud Detector resources in an automated and secure manner using AWS CloudFormation

Favorite Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, Amazon Fraud Detector is designed specifically to detect fraud. Amazon Fraud Detector combines your

Read More
Shared by AWS Machine Learning September 11, 2021

Manage your Amazon Fraud Detector resources in an automated and secure manner using AWS CloudFormation

Favorite Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose machine learning (ML) packages, Amazon Fraud Detector is designed specifically to detect fraud. Amazon Fraud Detector combines your

Read More
Shared by AWS Machine Learning September 10, 2021

Announcing the Amazon S3 plugin for PyTorch

Favorite Amazon S3 plugin for PyTorch is an open-source library which is built to be used with the deep learning framework PyTorch for streaming data from Amazon Simple Storage Service (Amazon S3). With this feature available in PyTorch Deep Learning Containers, you can take advantage of using data from S3

Read More
Shared by AWS Machine Learning September 8, 2021

Boost transcription accuracy of class lectures with custom language models for Amazon Transcribe

Favorite Many universities like transcribing their recorded class lectures and later creating captions out of these transcriptions. Amazon Transcribe is a fully-managed automatic speech recognition service (ASR) that makes it easy to add speech-to-text capabilities to voice-enabled applications. Transcribe assists in increasing accessibility and improving content engagement and learning outcomes

Read More
Shared by AWS Machine Learning September 8, 2021

The Middle Management layer in KM – blockers? Or enablers?

Favorite Middle management can form an almost impenetrable layer to knowledge management in many organisations. Image from wikimedia commons The two main stakeholder groupings for KM are the senior managers and the knowledge workers. The value proposition for the senior managers is that KM will deliver greater efficiency, greater effectiveness, faster

Read More
Shared by Nick Milton September 6, 2021

Define and run Machine Learning pipelines on Step Functions using Python, Workflow Studio, or States Language

Favorite You can use various tools to define and run machine learning (ML) pipelines or DAGs (Directed Acyclic Graphs). Some popular options include AWS Step Functions, Apache Airflow, KubeFlow Pipelines (KFP), TensorFlow Extended (TFX), Argo, Luigi, and Amazon SageMaker Pipelines. All these tools help you compose pipelines in various languages

Read More
Shared by AWS Machine Learning September 4, 2021