Machine Learning: A Probabilistic Perspective

Looking for a textbook that teaches probabilistic approaches as well as inference? One of your best possibilities is Machine Learning: A Probabilistic Perspective, which combines inference with probabilistic approaches to thoroughly introduce machine learning. Machine learning is excellent for predicting future data since it can automatically recognize present data. This textbook delves deeply into each topic to cover a wide range of subjects related to the subject.

To make these principles easier to comprehend, the author employs an informal, approachable tone. The majority of the algorithms in the article are written in pseudo-code. Color graphics and working examples are used to explain each topic. This textbook will be useful for undergraduate students who have a foundation in introductory college arithmetic, as well as for beginning graduate students who want to learn about machine learning.

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