A Brief Introduction to Machine Learning for Engineers

Livro digital

Título:
A Brief Introduction to Machine Learning for Engineers

Autor:
Osvaldo Simeone

Categoria:
Tecnologia > IA

Doador:
Raffaello D. N.

Sinopse:
A brief introduction can still feel overwhelming when machine learning spans linear regression, Bayesian and frequentist thinking, probabilistic models, and information-theoretic tools. This monograph keeps the path clear by opening with “What is Machine Learning?”, then moving through a gentle introduction via linear regression and a structured Basics section that sets the vocabulary before the harder ideas arrive. From there, the table of contents expands into probabilistic models for learning, classification, statistical learning theory, unsupervised learning, graphical models, and approximate inference. That sequence matters: the book does not jump straight into algorithms, it builds from supervised learning to generative and discriminative models, then into PAC learning, EM, variational inference, and Monte Carlo methods, with appendices that anchor the math. The result is a compact technical map of the field for readers with an engineering background in probability and linear algebra. It is broad enough to show how major ML families connect, and focused enough to serve as a practical entry point into both the core ideas and the more advanced modeling framework behind them.