AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices.

Scripts 91

Scripts Engineering Metrics Best practices 91

AWS Machine Learning

AUGUST 29, 2023

If the model quality metric (for example, RMSE for regression and F1 score for classification) doesn’t meet a pre-specified criterion, the model quality check step is marked as failed. Data I/O design SageMaker interacts directly with Amazon S3 for reading inputs and storing outputs of individual steps in the training and inference pipelines.

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

DECEMBER 18, 2023

The triggers need to be scheduled to write the data to S3 at a period frequency based on the business need for training the models. When the model is ready, select the model and click on the latest version Review the model metrics and column impact and if you are satisfied with the model performance, click Predict.

Finance 103

Finance APIs Analytics Scripts 103

Vistio

OCTOBER 5, 2021

And you can look at various specific areas such as data analytics, big data, being able to study patterns within data, using artificial intelligence or using machine learning to actually gather up every customer interaction, and remember the original problem and the solution.

Chatbots 52

Chatbots Contact Center Banking Technology 52

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 77

Metrics Scripts Enterprise Telecommunications 77

AWS Machine Learning

JULY 25, 2022

We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing. This was simple and cost-effective for us, because the GPU instance is only used and paid for during the 15 minutes needed for the script to run.

Scripts 70

Scripts Engineering Analytics APIs 70

AWS Machine Learning

SEPTEMBER 30, 2022

Security is a big-data problem. As soon as a download attempt is made, it triggers the malicious executable script to connect to the attacker’s Command and Control server. With the built-in algorithm for XGBoost , you can do this without any additional custom script.

Scripts 80

Scripts Engineering Metrics Big data 80

AWS Machine Learning

MAY 8, 2023

The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/. You can use this script add_users_and_groups.py import boto3 # Session using the SageMaker Execution Role in the Data Science Account session = boto3.Session()

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

SEPTEMBER 9, 2022

Each project maintained detailed documentation that outlined how each script was used to build the final model. In many cases, this was an elaborate process involving 5 to 10 scripts with several outputs each. Consequently, maintaining and augmenting older projects required more engineering time and effort. Kubeflow Logging.

Engineering 75

Engineering Healthcare APIs Scripts 75

AWS Machine Learning

MAY 1, 2023

Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. Add a custom transformation to detect and remove image outliers With image preparation in Data Wrangler, we can also invoke another endpoint for another model. Lu Huang is a Senior Product Manager on Data Wrangler.

Scripts 91

Scripts Big data Engineering Enterprise 91