When I joined a B2B SaaS startup in 2021, I was transitioning from a bigger and more mature company. In my previous company, I was working on a particular area of the product – while it was rigorous and intense – I was excited...
Tag: Data Analytics
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
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
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
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...
Leveraging diverse data sources: An introduction to entity resolution
In a world where data availability is becoming increasingly abundant, how can we leverage multiple data sources to answer questions of scientific interest? This matter is a perfect spot to use the entity resolution. What is entity resolution? Why does it...
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
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
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
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...