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Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

Pierre Baldi, Søren Brunak




[PDF.iv73] Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

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 | #1165359 in Books |  2001-08-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x1.25 x7.00l,2.38 | File type: PDF | 476 pages

||21 of 21 people found the following review helpful.| Could have been a great one.|By wiredweird|This book is decidedly a mix: some very good information, combined with some very puzzling omissions and uneven editing.
First, the good. The description of stochastic context free grammars is the best I've seen. I don't know any other reference that even hint at how to use generative grammars to evaluate likelihoods. Once they| ||This is a very good book, written with a high level of erudition and insight. (Gustavo A. Stolovitzky Physics Today)|From the Publisher|An unprecedented wealth of data is being generated by genome sequencing projec

An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural ne...

You easily download any file type for your device.Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)   |  Pierre Baldi, Søren Brunak. Just read it with an open mind because none of us really know.

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