Neural Search From Prototype To Production With Jina
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Neural Search From Prototype To Production With Jina
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Author : Bo Wang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-14
Neural Search From Prototype To Production With Jina written by Bo Wang and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Computers categories.
Implement neural search systems on the cloud by leveraging Jina design patterns Key FeaturesIdentify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in neural searchUnlock deeper levels of knowledge of Jina for neural searchBook Description Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning–powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What you will learnUnderstand how neural search and legacy search workGrasp the machine learning and math fundamentals needed for neural searchGet to grips with the foundation of vector representationExplore the basic components of JinaAnalyze search systems with different modalitiesUncover the capabilities of Jina with the help of practical examplesWho this book is for If you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.
Metric Learning
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Author : Aurélien Muise
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Metric Learning written by Aurélien Muise and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data. We first introduce relevant definitions and classic metric functions, as well as examples of their use in machine learning and data mining. We then review a wide range of metric learning algorithms, starting with the simple setting of linear distance and similarity learning. We show how one may scale-up these methods to very large amounts of training data. To go beyond the linear case, we discuss methods that learn nonlinear metrics or multiple linear metrics throughout the feature space, and review methods for more complex settings such as multi-task and semi-supervised learning. Although most of the existing work has focused on numerical data, we cover the literature on metric learning for structured data like strings, trees, graphs and time series. In the more technical part of the book, we present some recent statistical frameworks for analyzing the generalization performance in metric learning and derive results for some of the algorithms presented earlier. Finally, we illustrate the relevance of metric learning in real-world problems through a series of successful applications to computer vision, bioinformatics and information retrieval. Table of Contents: Introduction / Metrics / Properties of Metric Learning Algorithms / Linear Metric Learning / Nonlinear and Local Metric Learning / Metric Learning for Special Settings / Metric Learning for Structured Data / Generalization Guarantees for Metric Learning / Applications / Conclusion / Bibliography / Authors' Biographies
Advances In Manufacturing And Industrial Engineering
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Author : Ranganath M. Singari
language : en
Publisher: Springer Nature
Release Date : 2021-01-13
Advances In Manufacturing And Industrial Engineering written by Ranganath M. Singari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-13 with Technology & Engineering categories.
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
Effect Sizes For Research
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Author : Robert J. Grissom
language : en
Publisher: Routledge
Release Date : 2014-04-04
Effect Sizes For Research written by Robert J. Grissom and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Education categories.
The goal of this book is to inform a broad readership about a variety of measures and estimators of effect sizes for research, their proper applications and interpretations, and their limitations. Its focus is on analyzing post-research results. The book provides an evenhanded account of controversial issues in the field, such as the role of significance testing. Consistent with the trend toward greater use of robust statistical methods, the book pays much attention to the statistical assumptions of the methods and to robust measures of effect size. Effect Sizes for Research discusses different effect sizes for a variety of kinds of variables, designs, circumstances, and purposes. It covers standardized differences between means, correlational measures, strength of association, and confidence intervals. The book clearly demonstrates how the choice of an appropriate measure might depend on such factors as whether variables are categorical, ordinal, or continuous; satisfying assumptions; the sampling method; and the source of variability in the population. It emphasizes a practical approach through: worked examples using real data; formulas and rationales for a variety of variables, designs, and purposes to help readers apply the material to their own data sets; software references for the more tedious calculations; and informative figures and tables, questions, and over 300 references. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is an excellent supplement for advanced courses in statistics in disciplines such as psychology, education, the social sciences, business, management, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.
Serious Games And Edutainment Applications
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Author : Minhua Ma
language : en
Publisher: Springer
Release Date : 2017-03-03
Serious Games And Edutainment Applications written by Minhua Ma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-03 with Computers categories.
With the continued application of gaming for training and education, which has seen exponential growth over the past two decades, this book offers an insightful introduction to the current developments and applications of game technologies within educational settings, with cutting-edge academic research and industry insights, providing a greater understanding into current and future developments and advances within this field. Following on from the success of the first volume in 2011, researchers from around the world presents up-to-date research on a broad range of new and emerging topics such as serious games and emotion, games for music education and games for medical training, to gamification, bespoke serious games, and adaptation of commercial off-the shelf games for education and narrative design, giving readers a thorough understanding of the advances and current issues facing developers and designers regarding games for training and education. This second volume of Serious Games and Edutainment Applications offers further insights for researchers, designers and educators who are interested in using serious games for training and educational purposes, and gives game developers with detailed information on current topics and developments within this growing area.
The Life And Teaching Of Naropa
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Author :
language : en
Publisher: Shambhala Publications
Release Date : 2022-10-04
The Life And Teaching Of Naropa written by and has been published by Shambhala Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-04 with Religion categories.
In the history of Tibetan Buddhism, the eleventh-century Indian mystic Nâropa occupies an unusual position, for his life and teachings mark both the end of a long tradition and the beginning of a new and rich era in Buddhist thought. Nâropa's biography, translated by the world-renowned Buddhist scholar Herbert V. Guenther from hitherto unknown sources, describes with great psychological insight the spiritual development of this scholar-saint. It is unique in that it also contains a detailed analysis of his teaching that has been authoritative for the whole of Tantric Buddhism. This modern translation is accompanied by a commentary that relates Buddhist concepts to Western analytic philosophy, psychiatry, and depth psychology, thereby illuminating the significance of Tantra and Tantrism for our own time. Yet above all, it is the story of an individual whose years of endless toil and perseverance on the Buddhist path will serve as an inspiration to anyone who aspires to spiritual practice.
Proceedings Of International Conference On Advances In Computer Engineering And Communication Systems
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Author : C. Kiran Mai
language : en
Publisher: Springer
Release Date : 2022-01-23
Proceedings Of International Conference On Advances In Computer Engineering And Communication Systems written by C. Kiran Mai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-23 with Technology & Engineering categories.
This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)”, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.
Lingvis
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Author : Miriam Butt
language : en
Publisher: Lecture Notes
Release Date : 2020
Lingvis written by Miriam Butt and has been published by Lecture Notes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Language Arts & Disciplines categories.
This volume collects landmark research in a burgeoning field of visual analytics for linguistics, called LingVis. Combining linguistic data and linguistically oriented research questions with techniques and methodologies developed in the computer science fields of visual analytics and information visualization, LingVis is motivated by the growing need within linguistic research for dealing with large amounts of complex, multidimensional data sets. An innovative exploration into the future of LingVis in the digital age, this foundational book both provides a representation of the current state of the field and communicates its new possibilities for addressing complex linguistic questions across the larger linguistic community.
Hands On Neural Networks
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Author : Leonardo De Marchi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-30
Hands On Neural Networks written by Leonardo De Marchi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Computers categories.
Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras Key FeaturesExplore neural network architecture and understand how it functionsLearn algorithms to solve common problems using back propagation and perceptronsUnderstand how to apply neural networks to applications with the help of useful illustrationsBook Description Neural networks play a very important role in deep learning and artificial intelligence (AI), with applications in a wide variety of domains, right from medical diagnosis, to financial forecasting, and even machine diagnostics. Hands-On Neural Networks is designed to guide you through learning about neural networks in a practical way. The book will get you started by giving you a brief introduction to perceptron networks. You will then gain insights into machine learning and also understand what the future of AI could look like. Next, you will study how embeddings can be used to process textual data and the role of long short-term memory networks (LSTMs) in helping you solve common natural language processing (NLP) problems. The later chapters will demonstrate how you can implement advanced concepts including transfer learning, generative adversarial networks (GANs), autoencoders, and reinforcement learning. Finally, you can look forward to further content on the latest advancements in the field of neural networks. By the end of this book, you will have the skills you need to build, train, and optimize your own neural network model that can be used to provide predictable solutions. What you will learnLearn how to train a network by using backpropagationDiscover how to load and transform images for use in neural networksStudy how neural networks can be applied to a varied set of applicationsSolve common challenges faced in neural network developmentUnderstand the transfer learning concept to solve tasks using Keras and Visual Geometry Group (VGG) networkGet up to speed with advanced and complex deep learning concepts like LSTMs and NLP Explore innovative algorithms like GANs and deep reinforcement learningWho this book is for If you are interested in artificial intelligence and deep learning and want to further your skills, then this intermediate-level book is for you. Some knowledge of statistics will help you get the most out of this book.
Deep Learning For Search
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Author : Tommaso Teofili
language : en
Publisher:
Release Date : 2018-07-28
Deep Learning For Search written by Tommaso Teofili and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-28 with Computers categories.
Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance. Deep Learning for Search teaches readers how to improve the effectiveness of your search by implementing neural network-based techniques. By the time their finished, they'll be ready to build amazing search engines that deliver the results your users need and get better as time goes on! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.