Marktechpost

DECEMBER 18, 2024

From enhancing software development processes to managing vast databases, AI has permeated every aspect of software development. Below, we explore 25 top AI tools tailored for software developers and businesses, detailing their origins, applications, strengths, and limitations.

Software Development 103

Software Development AI Tools DevOps Machine Learning 103

AWS Machine Learning Blog

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Following are the steps completed by using APIs to create and share a model package group across accounts. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.

ML 90

ML Machine Learning Auto-complete Auto-classification 90

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. Start the model version when training is complete.

Auto-complete 115

Auto-complete Auto-classification Machine Learning ML 115

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 103

Auto-complete LLM Deep Learning Machine Learning 103

AWS Machine Learning Blog

JUNE 23, 2023

Another option is to download complete data for your ML model training use cases using SageMaker Data Wrangler processing jobs. After you check out the data type matching applied by SageMaker Data Wrangler, complete the following steps: Choose the plus sign next to Data types and choose Add analysis. This is a one-time setup.

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Auto-complete Auto-classification ML Data Quality 88

AWS Machine Learning Blog

JULY 31, 2023

In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.

Auto-classification 92

Auto-classification Machine Learning ML Auto-complete 92

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.

Machine Learning 90

Machine Learning Auto-complete Auto-classification Metadata 90