A First Encounter with Machine Learning

Livro digital

Título:
A First Encounter with Machine Learning

Autor:
Max Welling

Categoria:
Tecnologia > IA

Doador:
Raffaello D. N.

Sinopse:
A first encounter with machine learning can feel overwhelming when the field jumps straight into equations, but this book eases readers in through a clear path that starts with data representation and preprocessing, then moves through visualization, learning, and the core types of machine learning before reaching classifiers like nearest neighbors and Naive Bayes. The table of contents shows a practical progression: perceptrons, logistic regression, support vector machines, support vector regression, kernel ridge regression, kernel k-means, spectral clustering, kernel PCA, Fisher linear discriminant analysis, and kernel CCA. Along the way, the author also includes a compact appendix on convex optimization and kernel design, which gives the book more depth than a simple overview. Written as an intuitive undergraduate introduction, this material is ideal for readers who want a first solid understanding of classical machine learning without being dropped into a dense technical reference. It offers both conceptual grounding and a useful tour of the algorithms that shaped the field, making it a strong starting point before more advanced texts.