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Book Learning Cascading

    Book Details:
  • Author : Michael Covert
  • Publisher : Packt Publishing Ltd
  • Release : 2015-05-29
  • ISBN : 1785285238
  • Pages : 276 pages

Download or read book Learning Cascading written by Michael Covert and published by Packt Publishing Ltd. This book was released on 2015-05-29 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.

Book Cascading Style Sheets  CSS  by Example

Download or read book Cascading Style Sheets CSS by Example written by Steven E. Callihan and published by Que Publishing. This book was released on 2002 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cascading Style Sheets (CSS) by Example will allow readers to learn the fundamentals of CSS by providing a teaching progression that takes them through small, gradual steps. It provides examples using CSS in "real world" scenarios. Cascading Style Sheets (CSS) by Example follows a logical, linear teaching progression that enables the reader to learn the fundamentals of CSS to utilize more control over the appearance and styling of Web pages. This book provides accessible and practical examples not found in existing CSS titles and provides information needed for those who want to move beyond their HTML skills for Web development and design.

Book Service Learning to Advance Social Justice in a Time of Radical Inequality

Download or read book Service Learning to Advance Social Justice in a Time of Radical Inequality written by Alan S. Tinkler and published by IAP. This book was released on 2015-12-01 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: When considering inequality, one goal for educators is to enhance critical engagement to allow learners an opportunity to participate in an inquiry process that advances democracy. Service?learning pedagogy offers an opportunity to advance engaged?learning opportunities within higher education. This is particularly important given the power dynamics that are endemic within conversations about education, including the conversations around the Common Core, charter schools, and the privatization of education. Critical inquiry is central to the ethos of service?learning pedagogy, a pedagogy that is built upon community partner participation and active reflection. Within higher education, service?learning offers an important opportunity to enhance practice within the community, allowing students to engage stakeholders and youth which is particularly important given the dramatic inequalities that are endemic in today’s society.

Book Application of Machine Learning and Deep Learning Methods to Power System Problems

Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Book eLearning

    Book Details:
  • Author : Patrizia Ghislandi
  • Publisher : BoD – Books on Demand
  • Release : 2012-04-11
  • ISBN : 9535104756
  • Pages : 264 pages

Download or read book eLearning written by Patrizia Ghislandi and published by BoD – Books on Demand. This book was released on 2012-04-11 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term was coined when electronics, with the personal computer, was very popular and internet was still at its dawn. It is a very successful term, by now firmly in schools, universities, and SMEs education and training. Just to give an example 3.5 millions of students were engaged in some online courses in higher education institutions in 2006 in the USA1.eLearning today refers to the use of the network technologies to design, deliver, select, manage and broaden learning and the possibilities made available by internet to offer to the users synchronous and asynchronous learning, so that they can access the courses content anytime and wherever there is an internet connection.

Book Python Machine Learning

Download or read book Python Machine Learning written by Rajender Kumar and published by Jamba Academy. This book was released on 2023-03-02 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to dive into the world of Python machine learning? Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of machine learning and the powerful Scikit-learn library. Key Features: Detailed introduction to the fundamentals of machine learning and the Scikit-Learn library. Comprehensive coverage of essential concepts such as data preprocessing, model selection, evaluation, and optimization. Hands-on experience with real-world datasets and practical projects that will help you develop the skills you need to succeed in machine learning. Easy-to-follow explanations and step-by-step examples that make it easy for beginners to get started and advanced users to take their skills to the next level. See how machine learning is being used to solve problems in industries such as healthcare, finance and more. This book is perfect for beginners who are new to machine learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models. Outcome: Unlock the earning potential of up to $300k in job after reading the book. Boosting your resume. Opening doors to new opportunities. What other people says: Don't just take our word for it - see what other readers have said: "I was able to understand machine learning concepts and implement them easily with the help of this book." "Rajender Kumar's writing style made the complex concepts easy to understand." "I highly recommend this book to anyone looking to learn machine learning with Python." Don't miss out on this opportunity to master the art of Python machine learning with "Python Machine Learning: A Beginner's Guide to Scikit-Learn". Get your copy today and start building your own intelligent systems! WHO THIS BOOK IS FOR? "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is intended for a wide range of readers, including: Individuals who are new to the field of machine learning and want to gain a solid understanding of the basics and how to apply them using the popular scikit-learn library in Python. Data scientists, statisticians, and analysts who are familiar with machine learning concepts but want to learn how to implement them using Python and scikit-learn. Developers and engineers who want to add machine learning to their skill set and build intelligent applications using Python. Students and researchers who are studying machine learning and want to learn how to apply it using a widely used and accessible library like scikit-learn. Table of Contents Introduction to Machine Learning Python: A Beginner's Overview Data Preparation Supervised Learning Unsupervised Learning Deep Learning Model Selection and Evaluation The Power of Combining: Ensemble Learning Methods Real-World Applications of Machine Learning Future Directions in Python Machine Learning Additional Resources Tools and Frameworks Datasets Career Resources Glossary

Book Enterprise Data Workflows with Cascading

Download or read book Enterprise Data Workflows with Cascading written by Paco Nathan and published by "O'Reilly Media, Inc.". This book was released on 2013-07-11 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce. Working with sample apps based on Java and other JVM languages, you’ll quickly learn Cascading’s streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data. Start working on Cascading example projects right away Model and analyze unstructured data in any format, from any source Build and test applications with familiar constructs and reusable components Work with the Scalding and Cascalog Domain-Specific Languages Easily deploy applications to Hadoop, regardless of cluster location or data size Build workflows that integrate several big data frameworks and processes Explore common use cases for Cascading, including features and tools that support them Examine a case study that uses a dataset from the Open Data Initiative

Book Machine Learning and Knowledge Discovery in Databases  Research Track

Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-16 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Book Concepts  Frames and Cascades in Semantics  Cognition and Ontology

Download or read book Concepts Frames and Cascades in Semantics Cognition and Ontology written by Sebastian Löbner and published by Springer Nature. This book was released on 2021-05-28 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents novel theoretical, empirical and experimental work exploring the nature of mental representations that support natural language production and understanding, and other manifestations of cognition. One fundamental question raised in the text is whether requisite knowledge structures can be adequately modeled by means of a uniform representational format, and if so, what exactly is its nature. Frames are a key topic covered which have had a strong impact on the exploration of knowledge representations in artificial intelligence, psychology and linguistics; cascades are a novel development in frame theory. Other key subject areas explored are: concepts and categorization, the experimental investigation of mental representation, as well as cognitive analysis in semantics. This book is of interest to students, researchers, and professionals working on cognition in the fields of linguistics, philosophy, and psychology.

Book Transforming Teacher Education through Service Learning

Download or read book Transforming Teacher Education through Service Learning written by Virginia M. Jagla and published by IAP. This book was released on 2013-12-01 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transforming Teacher Education through Service-Learning provides a fresh look at educational reform through the lens of teacher preparation. It poses the question “Why service-learning now?” as it discusses the meaningful ways service-learning pedagogy can transform the approaches used to prepare teachers to educate tomorrow’s children. The pedagogy of service-learning has significant implications for teacher education. Its transformative aspects have far reaching potential to address teacher candidate dispositions and provide deeper understanding of diversity. Knowledge of the pedagogy and how to implement it in candidates’ future classrooms could alter education to a more powerful experience of democracy in action and enhance the civic mission of schools. The current and ongoing research found within this volume is meant to continue support of the notion of educational reform. Because the vision we hold becomes the reality we experience, it is imperative to consider the question—Why service-learning now?—as we adjust teacher preparation programs to promote engaging opportunities for today’s youth.

Book Machine Learning and Knowledge Discovery in Databases

Download or read book Machine Learning and Knowledge Discovery in Databases written by Massih-Reza Amini and published by Springer Nature. This book was released on 2023-03-16 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters “On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based SentimentAnalysis” and “Contextualized Graph Embeddings for Adverse Drug Event Detection” are licensed under theterms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter.

Book Open and Distance Learning Initiatives for Sustainable Development

Download or read book Open and Distance Learning Initiatives for Sustainable Development written by Pandey, Umesh Chandra and published by IGI Global. This book was released on 2017-06-27 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education plays a vital role in the positive development of communities at both a local and global level. By becoming more informed, citizens can make better contributions to society. Open and Distance Learning Initiatives for Sustainable Development is a critical reference source for emerging academic perspectives on the role of higher education programs in contemporary society. Including a range of pertinent topics such as mobile learning, environmental education, and community building, this book is ideally designed for educators, researchers, students, and professionals interested in the intersection between sustainable development and education.

Book ECEL 2019 18th European Conference on e Learning

Download or read book ECEL 2019 18th European Conference on e Learning written by Rikke Ørngreen and published by Academic Conferences and publishing limited. This book was released on 2019-11-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Learning Web Design

    Book Details:
  • Author : Jennifer Niederst
  • Publisher : "O'Reilly Media, Inc."
  • Release : 2003
  • ISBN : 9780596004842
  • Pages : 506 pages

Download or read book Learning Web Design written by Jennifer Niederst and published by "O'Reilly Media, Inc.". This book was released on 2003 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Learning Web Design, author Jennifer Niederst shares the knowledge she's gained from years of web design experience, both as a designer and a teacher. This book starts from the beginning- defining the Internet, the Web, browsers, and URLs-so you don't need to have any previous knowledge about how the Web works. After reading this book, you'll have a solid foundation in HTML, graphics, and design principles that you can immediately put to use in creating effective web pages. In the second edition, Jennifer has updated the book to cover style sheets and reflect current web standards. She has also added exercises that help you to learn various techniques and short quizzes that make sure you're up to speed with key concepts. Learning Web Design: • Covers the nuts and bolts of basic HTML and style sheets, with detailed examples of formatting text, adding graphic elements, making links, creating tables and frames, and using color on the Web. Also contains tips on handling these tasks using three popular web authoring programs. • Explains whether to use GIFs or JPEGs for different types of images, includes important tips on optimizing graphics for web delivery, and provides step-by-step demonstrations of creating graphics using three popular web graphic tools. • Provides dozens of web design dos and don'ts, to help you make good web design decisions and avoid common beginner traps. • Contains hands-on exercises throughout the book that allow you to try out new techniques along the way. Unlike other beginner books, Learning Web Design leaves no holes in your education. It gives you everything you need to create basic web sites and will prepare you for more advanced web work. If you are interested in web design, this book is the place to start. The enclosed CD-ROM contains material for all the exercises in the book, as well as trial versions of Macromedia Fireworks MX and Homesite 5; Adobe Photoshop 7 and ImageReady 7; and BBEdit 7.

Book MDATA  A New Knowledge Representation Model

Download or read book MDATA A New Knowledge Representation Model written by Yan Jia and published by Springer Nature. This book was released on 2021-03-06 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way. This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment. The MDATA model should be of interest to readers from many research fields, such as database, cyberspace security, and social network, as the need for the knowledge representation arises naturally in many practical scenarios.

Book Introduction to Machine Learning  fourth edition

Download or read book Introduction to Machine Learning fourth edition written by Ethem Alpaydin and published by MIT Press. This book was released on 2020-03-24 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used machine learning textbook offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neural networks. The book covers a broad array of topics not usually included in introductory machine learning texts, including supervised learning, Bayesian decision theory, parametric methods, semiparametric methods, nonparametric methods, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing. The fourth edition offers a new chapter on deep learning that discusses training, regularizing, and structuring deep neural networks such as convolutional and generative adversarial networks; new material in the chapter on reinforcement learning that covers the use of deep networks, the policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec network; and discussion of a popular method of dimensionality reduction, t-SNE. New appendixes offer background material on linear algebra and optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced undergraduate and graduate students and as a reference for professionals.

Book Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Download or read book Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate written by Jing Li and published by Springer Nature. This book was released on 2023-08-07 with total page 1833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of CRIOCM 2022 (27th International Conference on Advancement of Construction Management and Real Estate), sharing the latest developments in real estate and construction management around the globe. The conference was organized by the Chinese Research Institute of Construction Management (CRIOCM) working in close collaboration with The Chinese University of Hong Kong. Written by international academics and professionals, the book discusses the latest achievements, research findings, and advances in frontier disciplines in the field of construction management and real estate. Covering a wide range of topics, including spatial planning and land use innovation, integration and application of BIM and GIS, low-carbon built environment, post-pandemic resilient cities development, housing and social governance, real estate market and urban policy, real estate finance and economics, intelligent construction and smart city, built environment for healthy living, and construction management in the post-COVID-19 era, the discussions provide valuable insights into the implementation of advanced construction project management and real estate market in China and abroad. The book offers an outstanding resource for academics and professionals