AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 124

Metadata Auto-classification Auto-complete Content Enrichment 124

Unite.AI

JUNE 11, 2024

Second, the LightAutoML framework limits the range of machine learning models purposefully to only two types: linear models, and GBMs or gradient boosted decision trees, instead of implementing large ensembles of different algorithms. Holdout Validation : The Holdout validation scheme is implemented if the holdout set is specified.

Auto-classification 263

Auto-classification Machine Learning Data Scientist Metadata 263

AWS Machine Learning Blog

MAY 3, 2023

Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it. The final outcome is an auto scaling, robust, and dynamically monitored solution.

Auto-classification 105

Auto-classification Auto-complete Machine Learning Metadata 105

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Flexibility, speed, and accessibility : can you customize the metadata structure? Is it fast and reliable enough for your workflow?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

DECEMBER 19, 2023

This is done on the features that security vendors might sign, starting from hardcoded strings, IP/domain names of C&C servers, registry keys, file paths, metadata, or even mutexes, certificates, offsets, as well as file extensions that are correlated to the encrypted files by ransomware.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

AWS Machine Learning Blog

MAY 31, 2023

Each model deployed with Triton requires a configuration file ( config.pbtxt ) that specifies model metadata, such as input and output tensors, model name, and platform. Triton implements multiple scheduling and batching algorithms that can be configured on a model-by-model basis.

ML 120

ML Auto-classification Auto-complete Natural Language Processing 120

Unite.AI

JUNE 24, 2024

This is the reason why data scientists need to be actively involved in this stage as they need to try out different algorithms and parameter combinations. It checks data and model quality, data drift, target drift, and regression and classification performance. We also save the trained model as an artifact using wandb.save().

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Data Drift Machine Learning Data Scientist ML 124