Tag: Data Analytics
Transforming city services using AI

Transforming city services using AI

Ana Arias, Geographic Information Systems Analyst at the City of Coral Gables, was a speaker during the DSS MIA 2024 conference. Her talk about transforming public services using AI was an inspiring and refreshing session between business- and technology-focused...

The Foundation of Machine Learning: Linear and Logistic Regression

The Foundation of Machine Learning: Linear and Logistic Regression

Regression is one of the most important techniques in predictive modelling. It is usually the gateway into the world of data science and machine learning, offering a perfect balance of simplicity and power. Whether you're forecasting next month's sales figures or...

Introduction: From Simple to Multiple Linear Regression

Introduction: From Simple to Multiple Linear Regression

In our previous post, we introduced Linear Regression, a fundamental technique used to predict outcomes based on a single factor—such as estimating house prices based on square footage. We also discussed essential performance metrics like Mean Squared Error (MSE) and...

Unlocking insights: The art and science of data visualization

Unlocking insights: The art and science of data visualization

In the digital age, where data accumulates boundlessly, distilling complex datasets into comprehensible and compelling narratives isn’t just beneficial, it’s indispensable. This article ventures through the realm of data visualization, highlighting the fusion of...

Data Science vs Business Analytics

Data Science vs Business Analytics

The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions.  It utilizes various statistical...

Decoding Data: Data Science vs Data Analytics Explained

Decoding Data: Data Science vs Data Analytics Explained

Data is the fuel that powers the modern digital economy. Data volume, velocity, and variety have increased exponentially, especially in the last decade. The total amount of data generated will reach 181 zettabytes in 2025.  Disciplines such as data science and...

Correlation and Regression Analysis: Exploring Relationships in Data

Correlation and Regression Analysis: Exploring Relationships in Data

In the realm of data analysis, there's a powerful duo of statistical techniques that holds the key to unraveling relationships within our data: Correlation And Regression Analysis. These techniques help us understand how variables dance together, revealing intriguing...

Demystifying Quantum Machine Learning

Demystifying Quantum Machine Learning

Everything a computer knows or sees is in the form of either ones or zeros. This combination of ones and zeros allows computers to store data and perform mathematical operations. Ones and zeros are also referred to as bits.  Computers have electrical components...

Future-Proofing Your Big Data Infrastructure

Future-Proofing Your Big Data Infrastructure

Data engineers are facing a great challenge worldwide, i.e., the unprecedented growth of data. Since 2017, the amount of data generated worldwide has increased by a staggering 270%. This incredible growth has organizations questioning their data policies and...