Machine Learning techniques
Machine learning is a subfield of artificial intelligence that focuses on building systems that can learn and improve from experience without being explicitly programmed. In other words, machine learning algorithms enable machines to learn and make predictions based on data, without being explicitly programmed for every possible scenario.
Machine learning algorithms can be broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning.
Machine Learning Classes in Pune
Supervised Learning Supervised learning is a type of machine learning where the algorithm learns from labeled data. Labeled data refers to data that is already tagged with the correct answer, such as images that are already labeled with the object they contain.
Supervised learning algorithms use this labeled data to learn patterns and relationships between input variables (known as features) and the output variable (known as the label or target). Once the algorithm has learned these patterns, it can make predictions on new, unseen data.