Unite.AI

JUNE 11, 2024

Second, the White-Box Preset implements simple interpretable algorithms such as Logistic Regression instead of WoE or Weight of Evidence encoding and discretized features to solve binary classification tasks on tabular data. The third component are the multiple machine learning pipelines stacked and/or blended to get a single prediction.

Auto-classification 263

Auto-classification Machine Learning Data Scientist Metadata 263

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

DECEMBER 19, 2023

Carl Froggett, is the Chief Information Officer (CIO) of Deep Instinct , an enterprise founded on a simple premise: that deep learning , an advanced subset of AI, could be applied to cybersecurity to prevent more threats, faster. We’ve entered a pivotal time, one that requires organizations to fight AI with AI.

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. For a list of NVIDIA Triton Deep Learning Containers (DLCs) supported by SageMaker inference, refer to Available Deep Learning Containers Images.

ML 119

ML Auto-classification Auto-complete Natural Language Processing 119

AWS Machine Learning Blog

MARCH 2, 2023

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. eks-create.sh This will create one instance of each type.

BERT 98

BERT Deep Learning Metadata Auto-complete 98

Unite.AI

JUNE 24, 2024

Machine learning frameworks like scikit-learn are quite popular for training machine learning models while TensorFlow and PyTorch are popular for training deep learning models that comprise different neural networks. We also save the trained model as an artifact using wandb.save().

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

AWS Machine Learning Blog

MARCH 1, 2023

To solve this problem, we make the ML solution auto-deployable with a few configuration changes. The training and inference ETL pipeline creates ML features from the game logs and the player’s metadata stored in Athena tables, and stores the resulting feature data in an Amazon Simple Storage Service (Amazon S3) bucket.

Automation 101

Automation ETL Data Drift ML 101