Data Science Articles

Anthony Corbo

Updated on July 14, 2025

R is a programming language widely used in data science that offers tools for statistical analysis and data visualization, including advanced plotting capabilities.

Mike Thomas

Updated on July 14, 2025

These companies are fine-tuning their marketing efforts with machine learning.

Mór Kapronczay

Updated on July 10, 2025

Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions used to evaluate regression model prediction accuracy. MSE prioritizes minimizing large absolute errors, and MSLE reduces outlier impact through logarithmic scaling.

Sara A. Metwalli

Updated on July 09, 2025

Structured thinking is an approach to problem solving that organizes complex issues into clear, actionable parts. It helps professionals tackle ambiguity by applying consistent frameworks to guide analysis and decision-making.

Sparsh Gupta

Updated on July 09, 2025

Logistic regression is a classification algorithm that applies a sigmoid function to a linear model, converting outputs into probabilities. These probabilities are then used to classify data into binary categories.

Nicolai Berg Andersen

Updated on July 09, 2025

Pandas is a Python library designed for data analysis and manipulation tasks, including working with tabular data, time series and diverse data sets.

Sadrach Pierre

Updated on July 08, 2025

Outlier detection is a data science technique with applications across a variety of industries. Here’s how to find outliers in data by using Python, with examples to illustrate the principles.

Matthew Urwin

Updated on July 04, 2025

President Trump’s “One, Big, Beautiful Bill” covers issues like Medicaid, food assistance and deportations — but a surprise addition on AI regulation is what’s catching the tech world’s attention. Here’s how it stands to affect the industry.

Ines Lee

Updated on June 30, 2025

Dot notation is a syntax used in programming languages like Python to access an object’s attributes and methods, making it easier to search complex data structures. Here’s what you need to know. 

Jenny Lyons-Cunha

Updated on June 26, 2025

From interactive dashboards to intricate diagrams, data visualization comes in all kinds of formats, helping users draw conclusions, identify patterns and make more informed decisions. engaging formats.