Introduction
This article will discuss cosine similarity, a tool for comparing two non-zero vectors. Its effectiveness at determining the orientation of vectors, regardless of their...
Introduction
Many database technologies in contemporary data management meet developers’ and enterprises’ complex and ever-expanding demands. From scalable, high-performance solutions for distributed systems to reliable...
Lately, I have been focusing on data storytelling and its importance in effectively communicating the results of data analysis to generate value. However, my...
AI applications are used across industry sectors – in business data analysis, healthcare, finance, and even in personalized learning experiences. However, the concept of “AI literacy” goes beyond...
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Introduction
Sentiment analysis refers to natural language processing (NLP) techniques that are used to judge the sentiment expressed within a...
Artificial intelligence (AI) is constantly evolving, with new applications and capabilities emerging seemingly every day. Machine learning, a core tenet of AI, relies on...
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Introduction
Feature engineering is one of the most important aspects of the machine learning pipeline. It is the practice of creating and...
The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and...
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Introduction
An important step in generating predictive models is selecting the correct machine learning algorithm to use, a choice which can have...
Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful...
