Data Science Articles

Alex Williams

Updated on August 18, 2025

Apache Hive is a distributed data warehouse system built on Apache Hadoop that enables scalable batch processing and SQL-like querying of large data sets using HiveQL.

Anthony Corbo

Updated on August 18, 2025

TensorFlow is an open-source machine learning framework developed by Google used to build, train and deploy machine learning and deep learning models for tasks such as predictive analytics, classification and image recognition.

Artturi Jalli

Updated on August 18, 2025

Cassandra is an open-source, distributed NoSQL database that can manage large volumes of data across multiple servers with high scalability.

Ellen Glover

Updated on August 14, 2025

These AI apps put the power of artificial intelligence right in your hands.

Terence Shin

Updated on August 12, 2025

Advanced SQL is the use of structured query language (SQL) techniques for complex querying, data manipulation and management, using features like CTEs, recursive queries, window functions and advanced joins. Here's 10 advanced SQL concepts to know.

Trist'n Joseph

Updated on August 12, 2025

Bootstrapping is a statistical resampling method that repeatedly samples with replacement from an existing data set to estimate the sampling distribution of a statistic.

James Le

Updated on August 12, 2025

A machine learning algorithm is a set of instructions that enables a system to learn patterns from data and make predictions or decisions without being explicitly programmed for each task. Here are the machine learning algorithms beginners should know.

Richmond Alake

Updated on August 12, 2025

Bubble sort time complexity describes how the bubble sort algorithm’s runtime scales with input size, being O(n²) in average and worst cases and O(n) in the best case when optimized.

Srishti Saha

Updated on August 11, 2025

Covariance indicates the direction of the linear relationship between two variables and how they vary, while correlation measures both the strength and direction of the linear relationship between two variables.

Sparsh Gupta

Updated on August 11, 2025

A loss function in machine learning is a mathematical formula that measures the difference between a model’s predicted output and the actual target value, guiding optimization during training. Here are common loss functions to know and when to use them.