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Feature Engineering (19 results) showing 1 - 10



Cadenz Profiles is an AI-driven Customer Intelligence Platform that streamlines historical and current customer records for financial institutions. Seamlessly integrating with multiple channels, it provides unified Single Customer View (SCV) by combining behavioral intelligence data with factual...


Automated Feature Extraction (AFE) enables the creation of automated and supervised extraction of an optimal set of predictive features from transactional datasets without human effort. It helps to transform temporal and relational datasets into feature matrices for modeling. The user just needs to...

Linux/Unix, Amazon Linux 5.10 - 64-bit Amazon Machine Image (AMI)

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The Dynamic Factor Variance-Covariance Model (DFVCM) makes multi-step forecasts of multivariate volatilities of a large number time-series (e.g. those of numerous investable assets in many markets) by applying dynamic factor model (DFM). The multi-step forecasts of multivariate volatilities are...

Algorithm - Fulfilled on Amazon SageMaker


Quantum Feature Selecton is hyrbid quantum computing approach to optimize feature selection in artificial intelligence/machine learning (AI/ML) model training and prediction. This solution approaches feature selection as an optimization problem and selects the most critical variables and eliminates...

Algorithm - Fulfilled on Amazon SageMaker

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mAdvisor is an AutoML platform that translates data from enterprise systems into meaningful insights & predictions in the form of narratives without any manual intervention. AutoML gives users the power of cognitive technologies like machine learning, machine reasoning, deep learning, natural...

Algorithm - Fulfilled on Amazon SageMaker


The solution runs machine learning related feature selection operations on the input data. This will simplify the task of feature selection for a data scientist where the user will have to specify few selected parameters to generate the correct output instead of writing specific code for each...

Model Package - Fulfilled on Amazon SageMaker


Customer Genomics is our inhouse built platform for powering customer decisioning with intelligence @speed and scale. It executes next best experience recommendations at every stage of a customer’s relationship journey with client businesses.Over the last 6-7 years we have solved personalization...


SpeedWise Waterflood Management (SWM) is a revolutionary cloud-native SaaS solution for asset teams looking to optimize waterflood operations. SWM combines the fundamentals of subsurface flow physics with advanced data-driven techniques to quickly build waterflood models based on available...


The data platform for machine learning. Tired of Spark? So are we. Just-in-time data + Hot-reload + Rust compute Chalk is a data platform that powers machine learning and generative AI. Chalk's best-in-class developer experience enables data teams to declare features and their dependencies with...


Categorical Missing Data Imputation is a robust deep learning based solution. This solution fills in missing values for categorical attributes by identifying data patterns in the input dataset. It helps reduce the data quality issues due to incomplete / non-available data.

Model Package - Fulfilled on Amazon SageMaker