DATA SCIENCE
WE HAVE TYPES UNDER DATA SCIENCE THEY ARE AS FOLLOWS:
- Machine learning:- Machine Learning is a subfield of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. In traditional programming, humans write explicit instructions for computers to perform tasks, whereas in machine learning, computers learn from data and experience. Some key points are Data,Features,Supervised Learning,Semi-Supervised Learning,Unsupervised Learning,etc.
- Deep learning:- Deep Learning is a subfield of machine learning that focuses on the development of artificial neural networks, particularly deep neural networks. These networks are inspired by the structure and function of the human brain and are designed to automatically learn and represent complex patterns and hierarchical features from data. Deep learning has gained tremendous popularity and has achieved remarkable success in various applications, including computer vision, natural language processing, speech recognition, and more. Deep learning has revolutionized AI and has led to significant advancements in various fields. Its ability to automatically learn complex patterns from large datasets has made it a powerful tool for solving real-world problems.
- Artificial Intelligence:- Artificial Intelligence aka AI, refers to the development of computer systems and software that can perform tasks that typically require human intelligence. These tasks include understanding natural language, recognizing patterns, learning from experience, making decisions, and solving problems. AI aims to create machines that can mimic human cognitive functions and perform tasks autonomously, often with the goal of improving efficiency, accuracy, and automation in various fields. Some types are Robotics,Computer Vision,Natural Language Processing (NLP),Deep Learning,Machine Learning and etc.
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