Machine Learning Algorithms

About this book

Machine Learning Algorithms the fundamental principles, techniques, and applications of machine learning. Supervised, unsupervised, and reinforcement learning, the delves into essential algorithms such as decision trees, neural networks, support vector machines, and deep learning models. Theoretical insights alongside practical implementations, making it suitable for students, researchers, and professionals. With real-world examples and case studies, the bridges the gap between theory and practice, equipping readers with the knowledge to develop intelligent systems and solve complex problems across various domains, including healthcare, finance, and robotics.