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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.

Scala vs. Java

Scala vs. Java: Discover why using Scala with Java can streamline big data workflows and offer numerous advantages over using Java alone.

Anaconda for Python: Unleashing the Power of Python for Data Science

Anaconda is a Python distribution system, optimizing package management and deployment. Explore its vital role in data science, AI and ML within this article.

AI Predictive Maintenance in Government and Public Sector

In this blog post, we look at why AI is so beneficial and how government organizations at the federal and local levels are using AI for predictive maintenance.

What is Machine Learning?

Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.

Machine Learning Platforms

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

What is Apache Spark?

Apache Spark was designed to function as a simple API for distributed data processing, reducing complex tasks from thousands of lines of code to just dozens.

What Is a Feature Store in Machine Learning?

A feature store is a emerging data system used for machine learning, serving as a centralized hub for storing, processing, and accessing commonly used features.

What is Spark Streaming?

Spark Streaming and Spark Structured Streaming are designed for real-time data processing. In this article, we look at their capabilities and limitations.

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.