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An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution changes. Dataset shift is present in most practical applications, for reasons ranging from the bias introduced by experimental design to the irreproducibility of the testing conditions at training time. (An example is -email spam filtering, which may fail to recognize spam that differs in form from the spam the automatic filter has been built on.) Despite this, and despite the attention given to the apparently similar problems of semi-supervised learning and active learning, dataset shift has received relatively little attention in the machine learning community until recently. This volume offers an overview of current efforts to deal with dataset and covariate shift. The chapters offer a mathematical and philosophical introduction to the problem, place dataset shift in relationship to transfer learning, transduction, local learning, active learning, and semi-supervised learning, provide theoretical views of dataset and covariate shift (including decision theoretic and Bayesian perspectives), and present algorithms for covariate shift.ContributorsShai Ben-David, Steffen Bickel, Karsten Borgwardt, Michael Brückner, David Corfield, Amir Globerson, Arthur Gretton, Lars Kai Hansen, Matthias Hein, Jiayuan Huang, Choon Hui Teo, Takafumi Kanamori, Klaus-Robert Müller, Sam Roweis, Neil Rubens, Tobias Scheffer, Marcel Schmittfull, Bernhard Schölkopf Hidetoshi Shimodaira, Alex Smola, Amos Storkey, Masashi Sugiyama

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

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Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets and clustering. This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.

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[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: 3rd ] Publisher: FlatWorld Pub Date: 8/1/2020 Binding: Paperback Pages: 410 3rd edition.

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GIS for Surface Water: Using the National Hydrography Dataset enables scientists, managers, and students to understand the complexities of the vital surface waters of the United States. It triggers exploration and analysis by combining the ready-to-use powers of a comprehensive database of the nation’s waters and the ArcGIS® platform for geographic data analysis and mapping. This book explains how the water that exists on the landscape has been translated into a computer database, and how data about the water, such as chemistry and fish habitat, is linked to this database. Elevation data is also incorporated to produce watersheds at the micro and macro levels. This information, along with climatic data, leads to the creation of water flow and velocity estimates for every segment in the 7.5-million-mile drainage network in the United States. With the development of this complete water information system, the reader is poised to generate new knowledge of the behavior of surface water systems.  Application of the ArcGIS suite of geographic and network analysis tools makes the science of surface water come to life. GIS for Surface Water vividly demonstrates how the vast capabilities of ArcGIS can be easily applied to the National Hydrography Dataset and companion Watershed Boundary Dataset to reveal the intricate properties of complex water networks. A variety of GIS operations are made simpler through the use of ArcGIS. You will be able to input the National Hydrography Dataset in your GIS and trace the path of water within minutes. With just a little more effort, you will be able to create enlightening flow-volume maps showing how much water flows through any given river system. By following basic principles outlined in the book, you will discover that these methods also apply to the science of surface-water systems for any nation. User stories by experienced water analysts arte also included to help buoy your knowledge of GIS for surface water.

GIS for Surface Water: Using the National Hydrography Dataset enables scientists, managers, and students to understand the complexities of the vital surface waters of the United States. It triggers exploration and analysis by combining the ready-to-use powers of a comprehensive database of the nation’s waters and the ArcGIS® platform for geographic data analysis and mapping. This book explains how the water that exists on the landscape has been translated into a computer database, and how data about the water, such as chemistry and fish habitat, is linked to this database. Elevation data is also incorporated to produce watersheds at the micro and macro levels. This information, along with climatic data, leads to the creation of water flow and velocity estimates for every segment in the 7.5-million-mile drainage network in the United States. With the development of this complete water information system, the reader is poised to generate new knowledge of the behavior of surface water systems.  Application of the ArcGIS suite of geographic and network analysis tools makes the science of surface water come to life. GIS for Surface Water vividly demonstrates how the vast capabilities of ArcGIS can be easily applied to the National Hydrography Dataset and companion Watershed Boundary Dataset to reveal the intricate properties of complex water networks. A variety of GIS operations are made simpler through the use of ArcGIS. You will be able to input the National Hydrography Dataset in your GIS and trace the path of water within minutes. With just a little more effort, you will be able to create enlightening flow-volume maps showing how much water flows through any given river system. By following basic principles outlined in the book, you will discover that these methods also apply to the science of surface-water systems for any nation. User stories by experienced water analysts arte also included to help buoy your knowledge of GIS for surface water.

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Take your productivity to new heights with the Z4 G5 Tower Workstation, a high-performance desktop powerhouse designed to handle advanced workflows with ease. From rendering and simulation tasks to advanced video editing and massive dataset preparation, this workstation is equipped to accelerate your work across a broad spectrum of professional applications.Powered by an Intel Xeon W5-2445 3.1GHz processor and 16GB RAM, this workstation offers professional-grade performance, allowing you to render, simulate, and analyze advanced datasets at lightning-fast speeds. The inclusion of an NVIDIA T1000 8GB GPU further enhances the workstation's performance, ensuring smooth, unthrottled operation even during the most demanding tasks.The Z4 G5 Tower Workstation is not just about power; it's also designed for easy upgrades and expansion. With ample space for high-end GPUs, abundant memory and storage options - including front accessible NVMe bays - and PCIe slots, this workstation is future-proof. Its tool-less design ensures easy access, allowing you to evolve your PC as your workflow capabilities expand.Trust is paramount when it comes to your workstation, and the Z4 G5 delivers on this front with comprehensive security features and proven reliability. With 360K hours of testing and certifications for professional applications, you can rely on this workstation to handle your most critical tasks. It also features HP Wolf Security for Business, providing robust, enterprise-level PC protection.Designed with IT lifecycle in mind, the Z4 G5 boasts a 3-year lifecycle - longer than most entry workstations. This feature allows you to plan for the future and avoid re-qualifying devices every year, saving you both time and money.The Z4 G5 Tower Workstation runs on Windows 11 Pro, ensuring you can work from anywhere without compromising on performance or security. This operating system is powered by HP's advanced collaboration and connectivity technology, further enhancing your productivity.Finally, the Z4 G5 Tower Workstation features the Intel Xeon W processor, optimized for professional applications that utilize high core count or high frequency. With the HP Wolf Pro Security Edition, you can rest assured that security is a top priority, providing preconfigured enterprise-level PC protection for small and medium-sized businesses.

Enhance your computing experience with the Elite Mini 800 G9 Desktop Mini PC, a powerhouse of performance and security tailored for the modern business landscape. This compact yet robust desktop is engineered to handle complex tasks with ease, from crafting intricate presentations to processing large datasets and producing engaging content swiftly.At the heart of the Elite Mini 800 G9 lies a formidable Intel Core i5-13500T processor, clocked at 1.6GHz, which, when combined with the responsive integrated graphics, delivers exceptional speed and efficiency. The inclusion of 16GB DDR5 memory further amplifies multitasking capabilities, ensuring smooth operation even with multiple applications running simultaneously.Despite its mini stature, this desktop PC makes a significant impact with its cutting-edge technology and smart deployment options, making it an ideal choice for space-conscious environments without compromising on functionality. Whether it's for a home office, a creative studio, or as a portable workstation, the Elite Mini 800 G9 adapts to your hybrid work needs with elegance and ease.Security is paramount with the Elite Mini 800 G9, safeguarded by HP Wolf Pro Security Edition. This comprehensive suite combines HP Sure Click Pro and HP Sure Sense Pro, offering advanced protection against cyber threats beyond standard security measures. With a 1-year user license, users benefit from enterprise-level defense without the need for an IT-managed environment.Embrace the flexibility of Windows 11 Pro, which enhances your ability to work from anywhere while maintaining top-tier performance and security. The operating system is optimized for collaboration and connectivity, courtesy of HP's cutting-edge technology.Stay connected with the latest Wi-Fi 6 technology, ensuring a fast and stable wireless LAN connection even in crowded networks, enhancing your freedom to work from various locations without compromising on internet speed or reliability.HP Sure Sense employs deep learning AI to fortify your PC against novel and sophisticated malware attacks, while HP Sure Run safeguards critical processes from malicious shutdown attempts. Surf the web with confidence as HP Sure Click provides hardware-enforced security, protecting against compromised websites and malicious attachments in Microsoft Office and PDF files.The Elite Mini 800 G9 Desktop Mini PC is not just a computer; it's a testament to what small form factor PCs can achieve, offering a blend of power, portability, and protection that meets the demands of today's dynamic work environments.

For professionals and enthusiasts seeking a significant upgrade in their desktop PC or server performance, the 16GB DDR4 ECC RDIMM Memory Module stands out as a reliable and high-performance choice. Boasting a generous 16GB capacity, this memory module is designed to handle large datasets and complex applications with ease, ensuring efficient multitasking and smooth operation.Crafted with a 288-pin DIMM form factor, this advanced memory module is engineered to provide a stable and durable connection within your system, contributing to its overall longevity and reliability. The incorporation of Error-Correcting Code (ECC) technology is a testament to its sophistication, as it meticulously checks and corrects data errors in real-time, thereby enhancing the integrity and security of your data.The buffered architecture of this 16GB DDR4 ECC RDIMM Memory Module further reinforces its stability, making it an ideal solution for servers and workstations that demand consistent performance under heavy workloads. Its compatibility with a wide range of desktop PCs and servers adds to its versatility, making it a top choice for users who require a memory module that can adapt to various computing environments.Whether you're involved in data-intensive tasks, running server applications, or simply aiming for a more responsive system, this efficient and durable memory module is built to deliver advanced computing experiences. Choose the 16GB DDR4 ECC RDIMM Memory Module for a seamless and secure enhancement to your technology arsenal.