Bioinformatics and its application in Agriculture

Machine Learning (ML) is changing the way we interact with technology. From personalized recommendations on streaming platforms to fraud detection in banking and disease prediction in healthcare, ML is at the heart of modern intelligent systems. Unlike traditional programming, where we give computers explicit instructions, machine learning enables computers to learn from data and improve automatically . By identifying patterns and relationships, ML models can make predictions, classifications, or decisions with minimal human intervention. 🧠 Supervised vs. Unsupervised Learning Before exploring specific algorithms, it’s important to understand the two main types of machine learning: Supervised Learning : The algorithm learns from labeled data — meaning we already know the correct answers. For example, predicting house prices (regression) or classifying emails as spam or not spam (classification). Unsupervised Learning : The algorithm works with unlabeled data and tries to find patte...