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Posts tagged Data Science
Azure OpenAI vs OpenAI: What's the Difference?

Explore the world of AI with Azure OpenAI Service, offering secure access to cutting-edge language models like OpenAI GPT, Codex, and DALL-E within the Azure ecosystem. This article delves into the differences between OpenAI and Azure OpenAI, providing valuable insights to help you choose the ideal solution for your data protection and AI implementation needs.

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Simplifying Machine Learning Deployment with Azure’s Managed Endpoints

Are you struggling to deploy your machine learning models in the cloud? With so many options available, it can be overwhelming to know where to start. In this blog, we'll explore how Azure's Managed Endpoints can simplify the deployment process and provide a user-friendly interface for deploying and managing machine learning models.

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Customer Retention with FLAML: Predict Churn with a Few Simple Lines of Code

Customer retention is important for the success of a business and can be improved through the use of machine learning models to predict churn. FLAML is a tool that can help businesses easily build these models. By retaining customers and preventing them from switching to competitors, businesses can increase revenue, save costs, and improve brand loyalty.

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Feature Stores and Why You Need Them

MLOps aims to resolve the challenges of getting machine learning models and processes into production for operational use and one of the major challenges is how to manage features, data pipelines and ensure consistency between training and production. This is what Feature Stores were designed to do. This blog will introduce you to the basics of Feature Stores and how they solve one of the largest impediments to machine learning success.

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Customer segmentation using Databricks Solution Accelerator

Wondering how to create the best marketing strategy to reach out to different customer groups? Do you know which groups of customers are most likely to buy your product? Clustering your customers into segments based on profiles, behaviours and buying patterns is the answer. This article provides a great way to jump-start your clustering project using pre-built code designed by Databricks.

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