Tag: Machine Learning (ML)

A Comprehensive Guide to Federated Learning
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)
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
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 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
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)
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)
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
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
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
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.

How to Harness Real-Time Data Analytics Using Operational Data
How to Harness Real-Time Data Analytics Using Operational Data

Discover how Couchbase Analytics gives you the best of both operational applications _and_ data analytics so you can avoid ETL and focus on solutions.

Couchbase Mobile Offers Embedded Java Write Throughput and More
Couchbase Mobile Offers Embedded Java Write Throughput and More

Learn how Couchbase Mobile helps Java developers build mobile applications with better write scalability, import processing & machine learning capabilities.