ML (Machine Learning)

Information

• Machine Learning (ML) is a branch of artificial intelligence (AI) that involves the development and application of algorithms that can learn from data and make predictions or decisions without being explicitly programmed.
• ML can be supervised, unsupervised, or semi-supervised, depending on the type of training data and the desired output.
• In supervised learning, the algorithm learns from labeled examples, where the input data and the correct output are provided, and the goal is to generalize to unseen data by minimizing a loss or error function, such as mean squared error or cross-entropy.
• In unsupervised learning, the algorithm learns from unlabeled data, where only the input data is given, and the goal is to discover underlying patterns or structure in the data, such as clusters or latent variables, by maximizing a likelihood or similarity measure.
• In semi-supervised learning, the algorithm learns from a combination of labeled and unlabeled data, by leveraging the similarities and differences between them to improve the generalization performance.
• ML can be used for various tasks, such as classification, regression, clustering, dimensionality reduction, anomaly detection, and reinforcement learning, depending on the nature of the input and output variables and the desired objective.
• ML requires a large and representative dataset that is diverse, balanced, and unbiased, in order to avoid overfitting, underfitting, and other sources of bias or variance, and to ensure the robustness and fairness of the models.
• ML involves several steps, such as data preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluation, that require domain knowledge, creativity, and intuition, as well as computational resources and tools.
• ML has many applications in various domains, such as computer vision, natural language processing, speech recognition, recommender systems, financial analysis, bioinformatics, and autonomous systems, and is expected to have a significant impact on society and economy in the near future.