Computer Vision is an area of computer science that deals with enabling computers to understand and interpret visual data, such as images and videos. It involves the development of algorithms and techniques to extract useful information from these data sources, enabling machines to “see” the world around them in a similar way that humans do. […]
Comma-separated Values or CSV is a plain text file format used for storing tabular data. It is a simple and efficient way of representing large amounts of structured information since it does not contain any formatting details such as font size or color. CSV files consist of rows and columns, with each item being separated […]
Clustering is an unsupervised machine learning algorithm which groups similar data points into clusters, or groups of similar items. It is based on the idea that the items within a cluster are more similar to each other than they are to items in other clusters. Uses of Clustering Clustering can be used for a wide […]
Classification is the process of recognizing and assigning a certain item, or items, to a specific category. It can be used in many different contexts and for various purposes. For example, it can be used to categorize animals, plants, objects, people, jobs or other things. Uses of Classification Classification is also used to identify patterns […]
The Chi-square test, also known as Pearson’s Chi-square test or the goodness-of-fit test, is a statistical method used to determine whether there is an association between two variables. It compares observed frequencies with expected frequencies in one or more categories of a variable. It is primarily used in experiments that involve categorical data and can be […]
A categorical variable, also known as a nominal or qualitative variable, is a type of variable that can be used in statistical analysis to group data into distinct categories. Representation Categorical variables are typically represented by one-hot vectors (where each category is assigned a numerical value), and don’t have any inherent order. This means that […]
A categorical distribution, also known as a discrete probability distribution, is a type of probability distribution that describes the likelihood of outcomes from a finite set of categories. A categorical distribution is typically used when there are two or more mutually exclusive categories such as gender (male/female), or when an outcome can be represented by […]
Business analysts are responsible for tying data insights to actionable results that increase profitability or efficiency. They have deep knowledge of the business domain and often use SQL alongside non-coding tools to communicate insights derived from data. A business analyst is a professional who understands and evaluates business activities, such as product development, marketing strategies, […]
Area Under the Curve (AUC) is a popular evaluation metric used in machine learning to measure the performance of binary classification models. It is defined as the area under the Receiver Operating Characteristic curve (ROC) and it ranges between 0 and 1. The ROC curve is a graphical representation of the trade-off between the true […]
Data blending is a powerful tool that allows users to combine multiple data sources into a single view. This technique can help organizations create unified views of different datasets, enabling them to gain deeper insights from their data. Data blending enables users to join and analyze disparate datasets from different sources so that they can […]
