Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Download or read book Distributed Machine Learning Patterns written by Yuan Tang and published by Manning. This book was released on 2022-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you’ll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Download or read book Distributed Computing and Artificial Intelligence Special Sessions I 20th International Conference written by Rashid Mehmood and published by Springer Nature. This book was released on 2023-07-25 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly “wide area network” of research activity. The DCAI’23 technical program has selected 50 full papers in the Special Sessions (ASET, AIMPM, AI4CS, CLIRAI, TECTONIC, PSO-ML, SmartFoF, IoTalentum) and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute).
Download or read book Report of the Comptroller General of the State of Georgia for the Year Ending written by Georgia. Comptroller General's Office and published by . This book was released on 1915 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1883/84-1896/97 include also Report of the Insurance Department.
Download or read book Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.
Download or read book Vitamin B12 Microbiological Assay Methods and Distribution in Selected Foods written by Harold Lichtenstein and published by . This book was released on 1961 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Oceanographic Report written by and published by . This book was released on 1962 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Distribution and Engineering Significance of Sediments Bordering the Mississippi from Donaldsville to the Gulf written by Waterways Experiment Station (U.S.) and published by . This book was released on 1962 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Distribution and Occurrence of the Baser Metals in Western Australia written by Edward Sydney Simpson and published by . This book was released on 1907 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nuclear Science Abstracts written by and published by . This book was released on 1966 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Banning Distribution of Tris written by United States. Congress. House. Committee on Small Business. Subcommittee on Antitrust, Consumers, and Employment and published by . This book was released on 1978 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Download or read book Artificial Intelligence for Intelligent Systems written by Inam Ullah Khan and published by CRC Press. This book was released on 2024-07-31 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic. This book: Provides a better understanding of artificial intelligence-based applications for future smart cities Presents a detailed understanding of artificial intelligence tools for intelligent technologies Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs) Covers machine learning-based Intrusion detection system (IDS) for smart grid It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Download or read book Estimating the Distribution and Production of Microplankton in a Coastal Upwelling Front from the Cellular Content of Guanosine 5 Triphosphate and Adenosine 5 Triphosphate written by Carol Diane Jori and published by . This book was released on 1981 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis examines the distribution and production of micro-organisms within a coastal upwelling front located off Pt. Sur, California. Underway measurements of adenosine-5'-triphosphate (ATP) and pigment fluorescence (principally chlorophyll a) were used to estimate the amount of living biomass present at 2.5 m. Specific and absolute productivity were measured by the nucleotide ratio of guanosine-5'-triphosphate (GTP) to ATP and GTP, respectively. The highest concentration of biomass associated with the highest rate of absolute productivity was preferentially located in the strong thermo-nutrient gradient in the warmer stratified water at the equatorward edge of the feature. The measurement of specific productivity using the GTP to ATP ratio was significantly correlated with assimilation numbers (productivity index), lending support to the hypothesis that this ratio is a good indicator of specific community productivity in microplankton (principally phytoplankton). No correlation existed between the GTP concentration which was enzymatically determined, and the concentration of GTP which was inferred from the calculated values of delta ATP. This finding indicates that delta ATP is not a good estimator of GTP in community assemblages of microplankton.
Download or read book Monthly Weather Review written by and published by . This book was released on 1973 with total page 978 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Distribution and Transformation of Nutrients in Large scale Lakes and Reservoirs written by Zhenyao Shen and published by Springer Science & Business Media. This book was released on 2013-08-13 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Distribution and Transformation of Nutrients and Eutrophication in Large-scale Lakes and Reservoirs: The Three Gorges Reservoir" presents key findings on early eutrophication in large-scale lakes and reservoirs, providing readers with an overview of lake management problems and the tools that can be applied to solve them. The broad spectrum of available tools is presented in detail, including environmental technological methods, ecotechnological methods and the application of models to determine the best management strategy. The book is intended for environmental engineers and researchers in the fields of environmental science and ecological chemistry. Professor Zhenyao Shen, Professor Junfeng Niu and Associate Professor Ying Wang work at the School of Environment, Beijing Normal University, China. Dr. Hongyuan Wang works at Chinese Academy of Agricultural Sciences, China. Dr. Xin Zhao works at Changjiang River Scientific Research Institute, China.
