MACHINE LEARNING IN PRACTICE: ALGORITHM AND APPLICATIONS
Machine Learning in Practice: Algorithms and Applications" delves into the practical implementation of machine learning algorithms and their diverse applications across various fields. The book provides a comprehensive overview of essential algorithms, including supervised and unsupervised learning, neural networks, and deep learning. It emphasizes real-world scenarios where these algorithms are applied, such as in healthcare, finance, and environmental science. Through case studies and practical examples, readers gain insights into how machine learning models are developed, optimized, and deployed to solve complex problems, highlighting the transformative potential of this technology in contemporary society.