Treffer: MACHINE LEARNING IN PYTHON: USING TENSORFLOW AND SCIKIT-LEARN LIBRARIES

Machine learning in Python using TensorFlow and scikit-learn libraries opens up wide opportunities for developing and implementing intelligent systems capable of analyzing and processing large amounts of data. The article discusses key aspects of working with these libraries, including their features, areas of application, and integration methods for solving com-plex problems. Particular attention is paid to the implementation of various machine learning models, from classical methods (classification, regression, clustering) using scikit-learn to creat-ing deep neural networks using TensorFlow. The process of choosing between these libraries depending on the complexity of the problem and computational requirements is also discussed. The work emphasizes the importance of an integrated approach and synergy of these tools for solving current problems in the field of analytics and artificial intelligence.