Singular Value Decomposition (SVD) is a mathematical technique widely used in machine learning for tasks like dimensionality reduction, noise reduction, and data compression. By breaking down a matrix into its fundamental components, SVD helps uncover patterns in data, making it easier to analyze and process large datasets. Purpose of SVD in Machine Learning: SVD enables ...
Artificial Intelligence (AI) has revolutionized technology by enabling machines to perform specific tasks efficiently. While narrow AI focuses on specialized applications, Artificial General Intelligence (AGI) aims to replicate human-like intelligence across diverse and complex domains. AGI represents a transformative leap in AI progression, promising profound societal and technological impacts. What is Artificial General Intelligence (AGI)? ...
Depth First Search (DFS) is a foundational algorithm used for traversing or searching through graph and tree data structures. It plays a significant role in Artificial Intelligence (AI) for problem-solving and pathfinding tasks. By exploring as far as possible along each branch before backtracking, DFS mimics how humans often approach puzzles or games. Search algorithms ...
Generative AI, a cutting-edge branch of artificial intelligence, focuses on creating new content such as text, images, audio, and even code. Unlike traditional AI, which analyzes and processes data, generative AI actively produces outputs by learning from vast datasets. Its rapid advancements have made it a trending topic in technology, unlocking possibilities in industries like ...
In 2025, the field of data analytics continues to evolve rapidly, driven by advancements in artificial intelligence, machine learning, and big data technologies. As industries increasingly rely on data-driven decision-making, the demand for skilled data analysts is skyrocketing. According to a recent LinkedIn report, data analysis ranks among the top 10 most sought-after skills globally. ...
Evaluation metrics are essential in machine learning to measure how well a model performs on a given dataset. They provide a standardized way to assess the effectiveness of models, helping data scientists decide whether a model is ready for deployment or needs further improvement. Without appropriate evaluation metrics, selecting the best model for a specific ...
Machine learning is a powerful field shaping the future of technology. However, mastering it requires hands-on experience. Working on projects helps beginners strengthen their understanding of core concepts and algorithms while solving real-world problems. This article categorizes exciting machine learning project ideas for beginners, intermediate learners, and advanced enthusiasts to suit every skill level. Let’s ...
Artificial Intelligence (AI) is at the heart of modern innovation, powering breakthroughs in industries like healthcare, finance, and retail. With AI’s rapid adoption, professionals skilled in AI are in high demand. Whether you are a fresher stepping into the AI field or an experienced professional, being well-prepared for AI interviews can set you apart. This ...
Data science is the backbone of innovation in today’s data-driven world, empowering businesses to make informed decisions, predict trends, and optimize operations. With applications spanning healthcare, finance, technology, and more, understanding the core components of data science is essential for anyone looking to enter this exciting field. This article provides an easy-to-follow breakdown of the ...
Machine Learning (ML) is a transformative field driving innovation across industries like healthcare, finance, and e-commerce. With businesses increasingly adopting ML solutions, the demand for skilled professionals has skyrocketed. If you’re a beginner exploring ML, understanding its course syllabus is the first step to mastering this dynamic field. This article provides a simple and clear ...
Anshuman Singh
Mohit Uniyal
Team Applied AI