This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using...

This succinct compilation of essential reference data for the interpretation of NMR, IR, UV/Vis, and mass spectra also provides a hands-on guide for interpreting experimental spectral data and elucidating the structure of the respective compounds behind them. This fourth edition of the highly successful and concise textbook contains about 20% new data.