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Data Science Guide

Read more about AI, machine learning, data science and business intelligence and the role they play in the data cloud.

The Role of Feature Extraction in Machine Learning

Feature extraction enhances machine learning model efficiency and accuracy. Examples of feature extraction methods in machine learning include image processing.

What is a CI/CD Pipeline?

A CI/CD pipeline is a software delivery process used to deploy new and updated software safely by combining automated code building and testing with deployment.

Lambda Architecture

Lambda architecture is a popular deployment model. In this post, we’ll explain how it works and the benefits and drawbacks of using this data architecture.

Using AI in Risk Management for Stronger Financial Services

Explore how AI enhances risk management in the financial services industry, and how AI applications help firms navigate risk landscapes more effectively.

What Is Gradient Boosting?

In this article, we’ll explain gradient boosting, share the benefits of using this technique and highlight three common use cases.

Machine Learning Libraries: Streamlining the Path from Development to Deployment

Explore machine learning libraries with Snowflake for streamlined development, training, and deployment, enhancing product innovation.

Machine Learning Frameworks: Streamlining ML Model Development

Explore what machine learning frameworks are, and learn about the five leading ML frameworks and how to choose the best one for your organisation.

ML-Based Anomaly Detection

Discover how ML enhances anomaly detection and Snowflake's role in making ML insights accessible for quick, efficient problem-solving.

LLMOps: a Structured Approach for Operationalizing Large Language Models

Discover LLMOps: specialized solutions for Large Language Models (LLMs) to overcome training and deployment challenges and maximize business value.