Fields
Fields refer to the different areas of study within Data Science and Artificial Intelligence that focus on specific topics or problems. These fields include but are not limited to machine learning, natural language processing, computer vision, data mining, and big data analytics. Machine learning involves the use of algorithms and statistical models to enable computer systems to learn from data and improve their performance on a specific task. Natural language processing focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. Computer vision involves the use of algorithms to enable machines to interpret and understand visual data from the world around them. Data mining involves the process of discovering patterns and insights from large datasets, while big data analytics involves the use of advanced analytics techniques to analyze and extract insights from large and complex datasets.
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- Machine Learning Frameworks: Machine Learning Frameworks are software tools that provide an interface for building, training, and deploying machine learning models. These frameworks provide a set of pre-built algorithms, libraries, and tools that enable developers to c ... Read More >>
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