Machine learning (ML) algorithms and techniques help in implementing processes that can make intelligent decisions and detect hidden patterns. This provides meaningful insights and logical automation of tasks.

Learning methodologies like supervised or unsupervised learning, neural networks-based deep learning and reinforcement learning can help perform a variety of tasks such as classification, regression, clustering, pattern detection, predictions etc. These methods are geared towards learning models from historical data, which can then be used for various applications on current data.