Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
Kevin P. Murphy’s Probabilistic Machine Learning: Advanced Topics offers an advanced perspective on machine learning within the Adaptive Computation and Machine Learning series. It is intended for readers seeking deeper engagement with probabilistic approaches and the mathematical and computational foundations of the field.
About This Book
Probabilistic Machine Learning: Advanced Topics presents an advanced treatment of machine learning through a probabilistic perspective.
Written by Kevin P. Murphy, the book belongs to the Adaptive Computation and Machine Learning series.
Its focus is suited to readers seeking a deeper understanding of advanced topics in probabilistic machine learning.
The book is relevant to students, researchers, and practitioners interested in the mathematical and computational foundations of modern machine learning.
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