Machine learning is growing rapidly, and staying ahead means understanding the latest algorithm that shapes AI-operated applications. In 2025, efficiency, accuracy and scalability define top machine learning techniques . Whether you're a developer, data scientist, or AI enthusiast, knowing these algorithms is a must. Let’s dive in! 1. Linear Regression Linear regression is a fundamental algorithm for predicting numerical values. It establishes a connection between independent and dependent variables using a straight line. Companies use it for sales forecasts, risk assessment and trend analysis. Use Case: Predicting stock prices based on historical market trends. 2. Logistic Regression Despite its name, logistic regression is used for classification tasks. It predicts categorical outcomes, such as spam detection and disease diagnosis. The algorithm uses a sigmoid function to output probabilities, making it highly effective for binary classification problems. Use Case: Spam detection...
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