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Modern machine learning increasingly relies on advanced algorithms capable of handling complex, high-dimensional data. As problems grow in scale and complexity, traditional methods often fall short, creating the need for models that can learn richer representations and adapt to diverse tasks. Advanced Learning Algorithms presents major families of techniques that exemplify this progress, starting with neural networks and tree ensemble methods.