What is Linear Regression? Types & Examples
Learn what linear regression is, how it works, and why it’s essential for machine learning. Explore linear regression types, functions, and examples.
AI DATA CLOUDFUNDAMENTALS
Learn about some of the most relevant topics around cloud data warehousing, AI, data lakes, data engineering and other areas of interest related to cloud data analytics, AI and cloud data platforms.
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What Is a Star Schema? A Complete Guide for Data Modeling
Learn what a star schema is, how it works, and when to use it. Explore components, star schema examples, pros and cons, and star schema vs. snowflake schema.
What Is BERT? NLP Model Explained
Discover what BERT is and how it works. Explore BERT model architecture, algorithm, and impact on AI, NLP tasks and the evolution of large language models.
What Is a Neural Network? A Complete Guide
What is a neural network? Learn how an artificial neural network works, see examples and applications, and explore the different types used in deep learning.
What Is Delta Lake? A Guide to the Open Table Format
Explore its architecture and the Delta Lake format. See the key differences in a Delta Lake vs data lake comparison.
What Is Parquet File Format? A Complete Guide
Learn what a Parquet file is and how it works. Explore the Apache Parquet data format and its benefits for efficient big data storage and analytics.
What Is Random Forest in Machine Learning?
Learn how a random forest works with this simple guide. Learn about the powerful machine learning model and how to use random forest classification.
Data Security Explained: Methods, Services & Protection Strategies
Learn what data security is and why it matters. Explore data security services, solutions and protection methods to safeguard sensitive information.
What Is Data Mining? How It Works, Benefits & Techniques
Learn what data mining is, explore key data mining techniques, see practical data mining examples and discover how it helps uncover valuable insights.
What Is Big Data? Characteristics, Benefits and Examples
Gain insights on the intricacies of big data. Made up of large and continuously growing data sets, big data creates complexity and opportunity for organizations. While challenging to manage, optimizing big data is essential for organizations to make the most informed decisions, improve processes and ultimately accelerate innovation.
Support Vector Machine (SVM): A Complete Machine Learning Guide
Learn what Support Vector Machines (SVMs) are, how they work, key components, types, real-world applications and best practices for implementation.
A Guide to Database Management Systems (DBMS)
Learn about the advantages of a database management system. Explore types, such as relational database management systems, and see real-world examples.
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