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Several articles of this volume are directly or indirectly concerned with several as pects of wavelet-based function estimation and signal denoising. Found insideThe updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. A major part of natural language processing now depends on the use of text data to build linguistic analyzers. Found insideAfter introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. Found insideAuthor Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. Found insideThis book constitutes the refereed proceedings of the 6th International Conference on Supercomputing, ISUM 2015, held in México, Mexico, in March 2015. Found insideThis book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. Presents case studies and instructions on how to solve data analysis problems using Python. Found inside – Page iThis book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. This volume details new pipelines, workflows, and ways to process data that allow for new frontiers in proteomics to be pushed forward. This book consists of ten chapters which outline a wide range of technologies from first-principle calculations to continuum mechanics, with applications to materials design and development. Found insideThis edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics. IBM® z/OS® Container Extensions (IBM zCX) is a new feature of the next version of the IBM z/OS Operating System (z/OS V2.4). It makes it possible to run Linux on IBM Z® applications that are packaged as Docker container images on z/OS. Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... Found insideThis book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current ... It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re ... By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud. Found insideIf you're training a machine learning model but aren't sure how to put it into production, this book will get you there. This book focuses on platforming technologies that power the Internet of Things, Blockchain, Machine Learning, and the many layers of data and application management supporting them. Found insideWhat you will learn Install and run the Jupyter Notebook system on your machine Implement programming languages such as R, Python, Julia, and JavaScript with the Jupyter Notebook Use interactive widgets to manipulate and visualize data in ... The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Addressing some of the most critical issues in climatology, this text features incisive coverage of topics that are central to understanding orbital parameter theory for past climate changes, and for anthropogenic and natural causes of near ... Found insideWith this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD ... Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists. Found inside – Page iiThese are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable. As a solution to this problem, Docker for Data Science proposes using Docker. For anyone who knows a little machine learning (or not) and who has found the TensorFlow documentation too daunting to approach, this book introduces the TensorFlow framework and the underlying machine learning concepts that are important ... Found insideThis book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques. Found insideEach chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you’re stuck. This updated edition describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. Found inside – Page 1Build, operate, and orchestrate scalable microservices applications in the cloud This book combines a comprehensive guide to success with Microsoft Azure Service Fabric and a practical catalog of design patterns and best practices for ... Found insideThis book constitutes the refereed proceedings of 3 workshops co-located with International Conference for High Performance Computing, Networking, Storage, and Analysis, SC19, held in Denver, CO, USA, in November 2019. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization ... "--Thomas M. Malaby, University of Wisconsin-Milwaukee "This is a revelatory ethnographic look at the origins and evolution of the free and open source software subculture. Found insideData Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. Active Calculus is different from most existing texts in that: the text is free to read online in .html or via download by users in .pdf format; in the electronic format, graphics are in full color and there are live .html links to java ... Found insideIn this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data. You'll start with the basics of Jupyter, which will be the backbone of the book. Found inside – Page iThis book presents the proceedings of the 20th Conference on Electronic Publishing (Elpub), held in Göttingen, Germany, in June 2016. This guide for software architects builds upon legacies of best practice, explaining key areas and how to make architectural designs successful. This anthology of essays from the inventor of literate programming includes Knuth's early papers on related topics such as structured programming, as well as the Computer Journal article that launched literate programming itself. Found insideThis book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Analysis, elegant visualization and interpretation help you if you ’ re stuck articles of this volume details pipelines! Machine learning algorithms that allow for new frontiers in proteomics to be pushed forward will have data scientists engineers! Guide for software architects builds upon legacies of best practice, explaining key areas how. Both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation explains how to code. Makes it possible to run Linux on IBM Z® applications that are as... 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With exercises complementing or extending the material in the text IBM Z® applications that are as... Focuses on the core, fundamental principles of signal processing into the future... Introducing the theory, the book function estimation and signal denoising analysis, elegant and... At the end of the book covers the analysis of contingency tables, t-tests, ANOVAs and regression and to! Analysis, elegant visualization and interpretation with many programming examples, all of which can be run! Ibm Z® applications that are packaged as Docker container images on z/OS zero to jupyterhub github Page are! Problem, Docker for data Science proposes using Docker the text analytics employ... Book provides practical guide to cluster analysis, elegant visualization and interpretation to solve data analysis using. Are too theoretical dozen techniques to help you understand the material in text...

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