Tag: Machine Learning (ML)
A Comprehensive Guide to Federated Learning
Federated learning is an approach to machine learning that enables data privacy and security by training models across decentralized devices.
The Importance of Data Preprocessing in Machine Learning (ML)
Learn about the importance of data preprocessing in machine learning, the techniques you should use, and the steps involved in the process.
Preparing Datasets for Fine-Tuning ML Models: A Comprehensive Guide
Create high-quality datasets for fine-tuning models with this guide on data gathering, text extraction, and instruction file generation.
SWARM Engineering Helps Business Users Optimize Supply Chains with Next-Gen Technology
SWARM Engineering is one company that is utilizing AI to help transform the businesses of their customers. Learn about AVA, their new digital assistant.
Cloud to Edge AI with a Mobile Database Platform
Edge computing is vital for AI to realize its promise today and in the future, and Couchbase’s edge native, AI-ready modern database is ready to help.
Leveraging your ML models with Couchbase Analytics User Defined Functions (UDF)
In this blog post we walk you though to show you how to apply external algorithms to data that is resident in Couchbase.
How Couchbase Simplifies Data Science (Part 1)
Data science processes can be simplified using Couchbase services to build models, reduce data migration, query, analyze, and more.
ML Meets NoSQL: Integrating Python User-Defined Functions with SQL++ for Analytics
Learn about a new feature that you can explore in Developer Preview mode: integration of Python UDFs with Couchbase Analytics
Training a Linear Regression Model with Couchbase & a Jupyter Notebook: Step-by-Step Tutorial
Follow this step-by-step tutorial on training and testing a machine learning model for deep data insights using Jupyter Notebook and Couchbase Server.
Couchbase Analytics Now Supports Azure Blob Storage Using External Analytics Collections
Harness your data stored in Microsoft Azure Blob Storage for robust data analytics that combine external and local data via External Analytics Collections.
Announcing Couchbase Server 7.0
Discover how Couchbase Server 7.0 delivers the strengths of RDBMS and the flexibility of NoSQL for enterprise applications built for bottom-line results.
![How to Use Couchbase as a Machine Learning Model Store [Part 2 of 2]](https://www.couchbase.com/blog/wp-content/uploads/sites/1/2021/07/machine-learning-model-store-couchbase-data-platform-800x280.png.webp)
How to Use Couchbase as a Machine Learning Model Store [Part 2 of 2]
Learn how to use the Couchbase Data Platform as a ML model store – using binary or JSON – to meet the performance requirements of online machine learning.
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