What is Data Science and Why Does it Matter?

Data science is the art and science of extracting knowledge and insights from data. Data science combines statistics, computer science, and domain expertise to extract meaningful information from large and complex data sets. It involves collecting, cleaning, analyzing, and modeling data to uncover trends, patterns, and relationships. Data scientists use these insights to solve problems,… Continue reading What is Data Science and Why Does it Matter?

Understanding data: How statistics and machine learning learn from samples

There is an analogy in data science between inferential statistics and machine learning. Both fields aim to extract knowledge from limited data. Imagine wanting to understand the health of an entire forest. It’s impossible to examine every single tree. Instead, a researcher might take a random sample of trees and measure their height, trunk diameter,… Continue reading Understanding data: How statistics and machine learning learn from samples

Making Sense of Data: Unpacking Machine Learning Basics

Machine learning (ML) unlocks the potential of data by enabling computers to learn and perform tasks without explicit programming. Think of it as teaching computers through data, enabling them to make decisions or predictions. This article unpacks the basic concepts of ML. Data as Building Blocks Think of countless data points as the building blocks… Continue reading Making Sense of Data: Unpacking Machine Learning Basics

Search OpenEdition Search

You will be redirected to OpenEdition Search