Data Science Guide

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

What is a CI/CD Pipeline?

Learn more about CI/CD pipeline, which is an end-to-end software delivery process used to deploy new and updated software safely.

Sales Forecasting: Using ML to Improve Pipeline Forecasting Accuracy

Sales forecasting empowers businesses to plan and allocate resources more effectively, better manage risk, maximize financial performance, and excel in customer satisfaction.

Streamlining Python Development

In this article, we’ll explore what exactly makes Python development so practical and the role that Streamlit and Snowpark play in accelerating the pace of innovation.

Machine Learning Platforms

Discover how machine learning platforms provide users with the tools necessary to develop, deploy, and improve machine learning — specifically algorithms.

Feature Selection for Accurate Machine Learning Models

Feature selection helps machine learning models sift through data points to determine which ones are relevant and which aren’t.

Data Science Pipeline

Learn how data science pipelines automate the processes of data validation; extract, transform, load (ETL); machine learning and modeling.

Advanced Analytics Makes Organizations Smarter

Advanced analytics allows organizations to maximize the value of their data to achieve their business objectives more effectively.

A Modern ETL Process

Implementing a modern ETL process has significant benefits for efficiently building data applications and empowering data-driven decision-making.

Python for Data Science

In this guide, we’ll explore why Python has become a go-to language and how it's used in machine learning (ML) and artificial intelligence (AI) applications.