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Data compression is one of the primary contributing factors to the explosive growth in information technology. This book describes various discrete transforms... Læs mere
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and... Læs mere
This book describes some of the most recent advances and examines emerging problems in engineering psychology and... Læs mere
This is the fifth edited volume of refereed contributions, from an international group of researchers and... Læs mere
This theoretical and practical guide to using corpus linguistic techniques in stylistic analysis focuses on how to use off-the-shelf corpus software, such as AntConc, Wmatrix, and the Brigham Young University (BYU) corpus interface.
The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data.