Explain the following terms as used in AI
1.machine learning
2.artificial date mining
3.deep learning
1. Machine Learning: Machine learning refers to the branch of artificial intelligence that focuses on creating systems and algorithms that can automatically learn and make predictions or decisions without being explicitly programmed. It involves the development of mathematical models and algorithms that allow computers to analyze large amounts of data and derive patterns or insights from it. These models are trained using large datasets, allowing the system to improve its performance and accuracy over time.
2. Artificial Data Mining: Artificial data mining is a technique used in AI to discover patterns, relationships, and insights from large datasets. It involves the use of computational algorithms to explore and analyze data, with the objective of extracting useful information or knowledge. Artificial data mining helps in identifying hidden patterns, making predictions, or providing recommendations based on the analyzed data. The process involves collecting, cleaning, transforming, and analyzing data to uncover meaningful patterns or trends that can be utilized for decision-making or problem-solving.
3. Deep Learning: Deep learning is a subfield of machine learning that focuses on modeling and simulating the way the human brain works when processing data and creating patterns. It involves the construction of artificial neural networks with multiple layers that can process and interpret data with increasing levels of complexity. Deep learning algorithms learn from large amounts of data by detecting patterns and relationships within the dataset. This technique has been successfully applied in various AI applications such as image and speech recognition, natural language processing, and autonomous vehicles.