<P>From the Foreword:</P><br/><br/><P>"While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok</P><br/><br/><P>Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest¿I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences."</P><br/><br/><P></P><br/><br/><P>--Vipin Kumar, University of Minnesota</P><B><br/><br/><P></P><br/><br/><P>Large-Scale Machine Learning in the Earth Sciences</B> provides researchers and practitioners with a broad overview of some of
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