features Analytics Banking Groups Scripts 
AWS Machine Learning
FEBRUARY 13, 2024
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. Features are used repeatedly by multiple teams, and feature quality is critical to ensure a highly accurate model.
AWS Machine Learning
DECEMBER 29, 2022
You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. This is a new capability that makes it super easy to run analytics in the cloud with high performance at any scale.
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Balto
JANUARY 14, 2025
In todays customer-first world, monitoring and improving call center performance through analytics is no longer a luxuryits a necessity. Utilizing call center analytics software is crucial for improving operational efficiency and enhancing customer experience. What Are Call Center Analytics?
AWS Machine Learning
OCTOBER 10, 2023
Overview of federated learning FL typically involves a central FL server and a group of clients. In an FL training round, the central server first sends a common global model to a group of clients. In horizontal FL, all distributed datasets have the same set of features. The ML framework used at FL clients is TensorFlow.
Aspect
DECEMBER 27, 2017
RFPs for chatbots have arisen in verticals as diverse as banking, government, healthcare, and retail. With this feature being released as we’re going into 2018, we should see a massive impact on the rising tide of “Conversational Commerce”, with the chatbot boats being lifted along with it.
JustCall
MAY 2, 2022
Speech analytics is one such technology that allows companies to increase their sales by tailoring their interactions with prospects and enhancing sales pitches. So, if you are yet to integrate speech analytics into your system, it is high time to do so. What is Speech Analytics? The term “speech analytics” is self-explanatory.
AWS Machine Learning
FEBRUARY 27, 2023
For example, Fairness – The aim here is to encourage models to mitigate bias in model outcomes between certain sub-groups in the data, especially when humans are subject to algorithmic decisions. For example, a credit lending application should not only be accurate but also unbiased to different population sub-groups.
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