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Reviews of : Bayesian Reasoning and Machine Learning by David Barber PDF Book
Inside this Book – Rant on. I’m afraid I found this book largely unusable as a reference for machine learning. It is possibly good as a high-level introduction to the mathematics of certain kinds of machine learning (note SVM isn’t discussed, it “doesn’t fit well with the Bayesian approach”). I didn’t find the math particularly well explained, and that math assumes far more math and prob/stat exposure than the author claims in the front of the book (upper-level undergraduate with just linear algebra, but the book is filled with partial differentiation and tons of assumptions about probability, Bayesian methods and practices, and math modeling conventions).
Inside this book –Bayesian Reasoning and Machine Learning PDF Book by David Barber – Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master’s students with limited background in linear algebra and calculus.
Bayesian Reasoning and Machine Learning by David Barber PDF : eBook Information
- Full Book Name – Bayesian Reasoning and Machine Learning
- Author of this Book – David Barber
- Language – English
- Book Genre – Technology, Artificial Intelligence, Computer Science, Mathematics, Reference, Programming, Technical, Nonfiction,
- Download Format – PDF
- Size – 2.4 MB
- eBook Pages –644
- Price – Free