Description

Machine Learning Theory and Applications

Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries

Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support