auc roc

Evaluating machine learning models, especially for classification tasks, goes beyond measuring just accuracy. In real-world scenarios—such as fraud detection, medical diagnosis, or spam filtering—datasets are often imbalanced, making accuracy an unreliable metric. This is where the AUC-ROC Curve becomes essential. It provides a comprehensive view of a model’s ability to distinguish between classes across various … Read more

search algorithms in ai

Search Algorithms in AI

Abhimanyu Saxena

Search algorithms form the backbone of problem-solving in artificial intelligence (AI). Whether it’s navigating a maze, planning a robot’s movement, or strategizing in a game, AI systems often need to explore various possibilities to reach a goal. This exploration is enabled by search algorithms. These algorithms simulate intelligent behavior by systematically examining sequences of decisions … Read more

hadoop distributed file system

Hadoop Distributed File System (HDFS) — A Complete Guide

Anshuman Singh

The explosion of big data in recent years created a critical need for scalable, distributed storage systems capable of handling massive datasets efficiently. Hadoop Distributed File System (HDFS) emerged as a powerful solution, offering a fault-tolerant, scalable way to store and manage big data across clusters of inexpensive, commodity hardware. What is HDFS? HDFS stands … Read more

inductive learning

Artificial Intelligence

Inductive Learning Algorithm

Mayank Gupta

In the field of artificial intelligence and machine learning, learning algorithms are essential for developing systems that can adapt, predict, and improve over time. Among the foundational learning techniques is inductive learning, which focuses on drawing general conclusions from specific examples. It mimics the way humans learn from experience—by observing patterns and extrapolating rules. Inductive … Read more

time series analysis

Machine Learning

Introduction to Time Series Analysis and Forecasting

Team Applied AI

Time series analysis is a powerful technique used to understand trends, patterns, and seasonal variations in data collected over time. It plays a critical role in fields such as finance, weather forecasting, healthcare, energy, and retail, where predicting future values accurately is key to decision-making. With the exponential growth in data availability, mastering time series … Read more

tableau architecture

Machine Learning

Tableau Architecture: A Detailed Guide

Abhimanyu Saxena

Understanding the architecture of Tableau is essential for anyone looking to leverage its full potential—whether you’re a developer creating dashboards, an analyst exploring data, or an IT administrator managing deployments. Tableau’s architecture underpins its powerful ability to connect, process, visualize, and share data across organizations. By learning how Tableau’s components interact—both on the desktop and … Read more