Fine-tuning and generally wasting a lot of time, tweaking hero sections, rewriting calls-to-action, hunting for the perfect image, when running multiple ad campaigns it’s a never-ending routine of dragging and dropping. Well-known brands are familiar with this situation, by the time they’re done, their ad campaigns have usually run out of steam. Now, there’s a … Read more
AUC ROC Curve in Machine Learning
Team Applied AI
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
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
Twitter Sentiment Analysis Project
Twitter Sentiment Analysis refers to the process of extracting and interpreting emotions, opinions, and attitudes from tweets. Given the platform’s fast-paced, text-driven nature, it offers a rich and immediate source of public sentiment across diverse topics. Businesses, political analysts, and researchers increasingly rely on Twitter sentiment analysis to gauge public opinion in real time. Twitter’s … Read more
Inductive Learning Algorithm
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
Introduction to Time Series Analysis and Forecasting
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