Data Science Dojo

AUGUST 28, 2023

Consequently, there is a growing need to establish best practices for effectively integrating these models into operational workflows. LLMOps facilitates the streamlined deployment, continuous monitoring, and ongoing maintenance of large language models. LLMOps MLOps for Large Language Model What are the components of LLMOps?

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Smart Data Collective

SEPTEMBER 16, 2020

These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 121

Predictive Analytics Analytics Analytics Decision Trees 121

phData

AUGUST 24, 2023

Credit scoring and decisioning models have been used by financial institutions for many years to predict the risk associated with lending to individuals or entities. However, these models are evolving, with machine learning now playing an essential role in refining and improving the accuracy and efficiency of credit scoring and decisioning.

ML 52

ML ML Machine Learning Machine Learning 52

The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Most of its products use machine learning or deep learning models for some or all of their features.

ML 52

ML ML Machine Learning Machine Learning 52

Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

JUNE 22, 2023

Utilizing data streamed through LnW Connect, L&W aims to create better gaming experience for their end-users as well as bring more value to their casino customers. With predictive maintenance, L&W can get advanced warning of machine breakdowns and proactively dispatch a service team to inspect the issue.

AWS 82

AWS ML ML Machine Learning 82

DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. You need to make that model available to the end users, monitor it, and retrain it for better performance if needed.

Machine Learning 59

Machine Learning Machine Learning ML ML 59