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 Java: Data Science Made Easy
Data collection, processing, analysis, and more
About This Book
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Your entry ticket to the world of data science with the stability and power of Java
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Explore, analyse, and visualize your data effectively using easy-to-follow examples
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A highly practical course covering a broad...
|  |  Information Security Science: Measuring the Vulnerability to Data Compromises
Information Security Science: Measuring the Vulnerability to Data Compromises provides the scientific background and analytic techniques to understand and measure the risk associated with information security threats. This is not a traditional IT security book since it includes methods of information compromise that are not typically... |  |  Wiley Encyclopedia of Computer Science and Engineering, 5 Volume Set
Wiley Encyclopedia of Computer Science and Engineering, 5-volume set, includes over 450 A to Z articles addressing the latest advances and findings in computer science and engineering, in addition to important topics of interest to computer scientists and engineers, including standards, electronic commerce, financial engineering, and computer... |
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 A Practical Guide to Data Mining for Business and Industry
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create... |  |  Dry Beans and Pulses: Production, Processing and Nutrition
The common beans and pulses are diverse food resources of high nutritional value (protein, energy, fiber and vitamins and minerals) with broad social acceptance. These legume crops demonstrate global adaptability, genotypic and phenotypic diversity, and multiple means of preparation and dietary use. Beans and pulses are produced in... |  |  Factor Separation in the Atmosphere: Applications and Future Prospects
Modeling atmospheric processes in order to forecast the weather or future climate change is an extremely complex and computationally intensive undertaking. One of the main difficulties is that there are a huge number of factors that need to be taken into account, some of which are still poorly understood. The Factor Separation (FS) method is... |
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