AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

Neural Network 66

Neural Network Convolutional Neural Networks Metadata Data Scientist 66

TheSequence

JULY 5, 2023

A recent study of data drift issues at Uber reveled a highly diverse perspective. Image Credit: Uber Uber recognizes the need for a robust automated system that can effectively measure and monitor column-level data quality. Automated Anomaly Detection: D3 eliminates the manual process of setting thresholds for anomaly detection.

Data Drift 52

Data Drift Data Quality Metadata Data Platform 52

The MLOps Blog

MAY 31, 2023

The ML platform can utilize historic customer engagement data, also called “clickstream data”, and transform it into features essential for the success of the search platform. We can collect and use user-product historical interaction data to train recommendation system algorithms.

ML 59

ML Data Drift Algorithm Data Platform 59

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. Best-Practice Compliance and Governance: Businesses need to know that their Data Scientists are delivering models that they can trust and defend over time.

AI 98

AI AI DevOps Neural Network 98

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. You need to build your ML platform with experimentation and general workflow reproducibility in mind.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Mlearning.ai

FEBRUARY 16, 2023

Bulk Data Load Data migration to Snowflake can be a challenge. The solution provides Snowpipe for extended data loading; however, sometimes, it’s not the best option. There can be alternatives that expedite and automate data flows. ML models, in turn, require significant volumes of adequate data to ensure accuracy.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

AWS Machine Learning Blog

AUGUST 4, 2023

For more information about this process, refer to New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler. Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case. Choose clone repo for both notebooks.

ML 75

ML Categorization AI AI 75