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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.
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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.
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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.
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Machine Learning Platforms
Discover how machine learning platforms provide users with the tools necessary to develop, deploy, and improve machine learning — specifically algorithms.
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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.
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Data Science Pipeline
Learn how data science pipelines automate the processes of data validation; extract, transform, load (ETL); machine learning and modeling.
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Advanced Analytics Makes Organizations Smarter
Advanced analytics allows organizations to maximize the value of their data to achieve their business objectives more effectively.
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A Modern ETL Process
Implementing a modern ETL process has significant benefits for efficiently building data applications and empowering data-driven decision-making.
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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.
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