Read Introduction to Machine Learning and Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis) by Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis Online

students in bioinformatics, machine intelligence, applied statistics, biostatistics, computer science, and related areas. and Ph.D. … One of the strengths of this book is the clear notation with a mathematical and statistical flavor, which will be attractive to Biometrics readers, especially to those new to statistical learning and data mining. Several chapters include exercises.Technometrics, November 2009, Vol. It is also very readable for a variety of interested learners, researchers, and audiences from various backgrounds and disciplines. 51, No. 4…a good text/reference book that summarizes the latest developments in the interface between bioinformatics and machine learning and offers a thorough introduction to each field. … Using many popular examples, the statistical theory becomes comprehensible and bioinformatics examples motivate readers to apply the concepts to real data.Markus Sc

"Badly organized" according to Amazon Customer. I found this book very badly organized. There was way too much information packed into each chapter.It is as if the writers did not assume any background knowledge on the part of the readers.E.g.On the chapter on probabilistic and model-based learning, where they eventually ta

They also include exercises at the end of some chapters and offer supplementary materials on their website. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. Examines Connections between Machine Learning & BioinformaticsThe book begins with a brief historical overview of the technological developments in biology. Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly inte

Download Introduction to Machine Learning and Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis)

Download as PDF : Click Here

Download as DOC : Click Here

Download as RTF : Click Here