Download or read book Scaling Machine Learning with Spark written by Adi Polak and published by "O'Reilly Media, Inc.". This book was released on 2023-03-07 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better. Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book shows you when and why to use each technology. You will: Explore machine learning, including distributed computing concepts and terminology Manage the ML lifecycle with MLflow Ingest data and perform basic preprocessing with Spark Explore feature engineering, and use Spark to extract features Train a model with MLlib and build a pipeline to reproduce it Build a data system to combine the power of Spark with deep learning Get a step-by-step example of working with distributed TensorFlow Use PyTorch to scale machine learning and its internal architecture
Download or read book Peer to Peer Computing for Mobile Networks written by Maria Papadopouli and published by Springer Science & Business Media. This book was released on 2009-02-27 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research results on data dissemination in mobile networks and peer-to-peer systems for mobile devices. The main focus is a novel resource-sharing mechanism for mobile devices that introduces a new paradigm of information-sharing cooperation among mobile devices not necessarily connected to the internet. The book is geared to the needs of researchers and practitioners in industry, and is also suitable for advanced-level students in computer science and electrical engineering.
Download or read book Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5 0 written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on with total page 1360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence and Machine Learning in Smart City Planning written by Vedik Basetti and published by Elsevier. This book was released on 2023-01-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences
Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Download or read book Occupant Centric Simulation Aided Building Design written by William O'Brien and published by Taylor & Francis. This book was released on 2023-05-31 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Occupant-Centric Simulation-Aided Building Design promotes occupants as a focal point for the design process. This resource for established and emerging building designers and researchers provides theoretical and practical means to restore occupants and their needs to the heart of the design process. Helmed by leaders of the International Energy Agency Annex 79, this edited volume features contributions from a multi-disciplinary, globally recognized team of scholars and practitioners. Chapters on the indoor environment and human factors introduce the principles of occupant-centric design while chapters on selecting and applying models provide a thorough grounding in simulation-aided building design practice. A final chapter assembling detailed case studies puts the lessons of the preceding chapters into real-world context. In fulfillment of the International Energy Agency’s mission of disseminating research on secure and sustainable energy to all, Occupant-Centric Simulation-Aided Building Design is available as an Open Access Gold title. With a balance of fundamentals and design process guidelines, Occupant-Centric Simulation-Aided Building Design reorients the building design community toward buildings that recognize and serve diverse occupant needs, while aiming for superior environmental performance, based on the latest science and methods.
Download or read book Data Integration Blueprint and Modeling written by Anthony David Giordano and published by Pearson Education. This book was released on 2010-12-27 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects--and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever. This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right. Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary. Coverage includes Implementing repeatable, efficient, and well-documented processes for integrating data Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations Managing the high levels of complexity associated with integrating business and technical data Using intuitive graphical design techniques for more effective process and data integration modeling Building end-to-end data integration applications that bring together many complex data sources
Download or read book Managing and Processing Big Data in Cloud Computing written by Kannan, Rajkumar and published by IGI Global. This book was released on 2016-01-07 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.
Download or read book Machine Learning for Time Series Forecasting with Python written by Francesca Lazzeri and published by John Wiley & Sons. This book was released on 2020-12-03 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models’ performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.
Download or read book Building a GIS written by Dave Peters and published by ESRI, Inc.. This book was released on 2008 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book's reach is as broad as it is detailed, intended both for IT experts just now adopting the technology and for GIS experts just now getting into system design - and for the nontechnical executives who need to take advantage of advancements in technology while managing change."--Jacket.
Download or read book Van Nostrand s Scientific Encyclopedia written by Douglas M. Considine and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 3529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in science and engineering have occurred at a surprisingly rapid pace since the release of the seventh edition of this encyclopedia. Large portions of the reference have required comprehensive rewriting and new illustrations. Scores of new topics have been included to create this thoroughly updated eighth edition. The appearance of this new edition in 1994 marks the continuation of a tradition commenced well over a half-century ago in 1938 Van Nostrand's Scientific Encyclopedia, First Edition, was published and welcomed by educators worldwide at a time when what we know today as modern science was just getting underway. The early encyclopedia was well received by students and educators alike during a critical time span when science became established as a major factor in shaping the progress and economy of individual nations and at the global level. A vital need existed for a permanent science reference that could be updated periodically and made conveniently available to audiences that numbered in the millions. The pioneering VNSE met these criteria and continues today as a reliable technical information source for making private and public decisions that present a backdrop of technical alternatives.
Download or read book Big Data Analytics and Knowledge Discovery written by Min Song and published by Springer Nature. This book was released on 2020-09-10 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.
Download or read book Amazon Web Services Certified AWS Certified Machine Learning Specialty MLS C01 Practice Tests Exams 138 Questions Answers PDF written by Daniel Danielecki and published by Daniel Danielecki. This book was released on 2024-08-20 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⌛️ Short and to the point; why should you buy the PDF with these Practice Tests Exams: 1. Always happy to answer your questions on Google Play Books and outside :) 2. Failed? Please submit a screenshot of your exam result and request a refund; we'll always accept it. 3. Learn about topics, such as: - Amazon Athena; - Amazon CloudWatch; - Amazon Comprehend; - Amazon Elastic Compute Cloud (Amazon EC2); - Amazon Elastic Map Reduce (Amazon EMR); - Amazon Kinesis; - Amazon SageMaker; - Amazon Simple Storage Service (Amazon S3); - Amazon Textract; - Amazon Transcribe; - Apache Parquet; - Apache Spark; - AWS Batch; - AWS Glue; - AWS Lambda; - Convolutional Neural Network (CNN); - K-means; - Linear Regression; - Logistic Regression; - Principal Component Analysis (PCA); - Recurrent Neural Network (RNN); - Virtual Private Clouds (VPC); - Much More! 4. Questions are similar to the actual exam, without duplications (like in other courses ;-)). 5. These tests are not an Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) Exam Dump. Some people use brain dumps or exam dumps, but that's absurd, which we don't practice. 6. 138 unique questions.
Download or read book Byte written by and published by . This book was released on 1998 with total page 1178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The National Guide to Educational Credit for Training Programs 2002 written by (Ace) American Council on Education and published by Greenwood. This book was released on 2005 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over 25 years, this guide has been the trusted source of information on over 6,000 educational programs offered by business, labor unions, schools, training suppliers, professional and voluntary associations, and government agencies. These programs provide educational credit to students for learning acquired in noncollegiate settings. Each entry in the comprehensive National Guide provides: BL Course title as assigned by the participating organization BL Location of all sites where the course is offered BLDuration in contact hours and days or weeks BL The period during which the credit recommendation applies BL The purpose for which the course was designed BL The abilities or competencies acquired by the student upon successful completion of the course BL The teaching methods, materials, equipment, and major subject areas covered BL College credit recommendations offered in four categories (by level of degrees) and expressed in semester hours and subject area(s) in which credit is applicable. The introductory section includes the Registry of Credit Recommendations, an ACE College Credit Recommendation Service transcript system.
Download or read book Proceedings of the International Conference on Intelligent Systems and Networks written by Thi Dieu Linh Nguyen and published by Springer Nature. This book was released on with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Innovations in Data Analytics written by Abhishek Bhattacharya and published by Springer Nature. This book was released on with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:
