Snowflake ML Functions
Employs a machine learning algorithm to predict future numeric data based on historical time series data. A common use case is to forecast sales by item for the next two weeks.
Uses ML algorithms to sort data into different classes using patterns detected in training data. Binary classification (two classes) and multi-class classification (more than two classes) are supported. Common use cases of classification include customer churn prediction, credit card fraud detection, and spam detection.
The anomaly detection function (process of identifying outliers in data) lets you train a model to detect outliers in your time-series data. Outliers, which are data points that deviate from the expected range, can have an outsized impact on statistics & models derived from your data. Spotting & removing outliers can help improve the quality of your results.
Getting Started with Snowflake ML Function: Anomaly Detection & Forecasting
Getting Started with Snowflake ML Function: Classification & Forecasting
Snowflake | Cortex AI
Customer Reviews Analytics using Snowflake Cortex
In this Quickstart guide, you will be help the fictitious food truck company, Tasty Bytes, to identify where their customer experience may be falling short at the truck and business level by leveraging Snowflake Cortex within Snowflake Notebook.
Enhancing Customer Experiences using Cortex Fine Tuning
In this tutorial, we will build a customer support agent that showcases the power of Cortex Fine-Tuning and helps the Tasty Bytes team to respond with a highly accurate automated email to customer tickets, all with minimal resources and time
Build Rag Based Equipment Maintenance App Using Snowflake Cortex
By completing this guide, you will be able to go from downloaded maintenance manuals to an interactive application that can help your organization optimize the downtime experienced on your manufacturing equipment.
Large Language Model (LLM) Functions Snowflake Cortex
Snowflake Cortex gives you instant access to industry-leading large language models (LLMs) trained by researchers at companies like Mistral, Reka, Meta, and Google, including Snowflake Arctic, an open enterprise-grade model developed by Snowflake.
