Auto-complete Metadata Software Development 
NVIDIA
JUNE 7, 2024
In early trials, cuOpt delivered routing solutions in 10 seconds , achieving a 90% reduction in cloud costs and enabling technicians to complete more service calls daily. The company found that data scientists were having to remove features from algorithms just so they would run to completion.
AWS Machine Learning Blog
NOVEMBER 14, 2024
In AWS, these model lifecycle activities can be performed over multiple AWS accounts (for example, development, test, and production accounts) at the use case or business unit level. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. sagemaker_client = boto3.client("sagemaker")
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The MLOps Blog
JANUARY 23, 2023
Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Came to ML from software. Founded two successful software services companies. Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”.
AWS Machine Learning Blog
OCTOBER 8, 2024
In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK). In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion.
AWS Machine Learning Blog
JUNE 11, 2024
Launch the instance using Neuron DLAMI Complete the following steps: On the Amazon EC2 console, choose your desired AWS Region and choose Launch Instance. You can update your Auto Scaling groups to use new AMI IDs without needing to create new launch templates or new versions of launch templates each time an AMI ID changes.
AWS Machine Learning Blog
AUGUST 4, 2023
With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. million reviews spanning May 1996 to July 2014. Next, select a training method.
The MLOps Blog
FEBRUARY 27, 2023
You would address it in a completely different way, depending on what’s the problem. 2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century.
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