Originally published in 1995, Large Deviations for Performance Analysis consists of two synergistic parts. The first half develops the theory of large deviations from the beginning, through recent results on the theory for processes with boundaries, keeping to a very narrow path: continuous-time, discrete-state processes. By developing only what is needed for the applications, the theory is kept to a manageable level, both in terms of length and in terms of difficulty. Within its scope, the treatment is detailed, comprehensive and self-contained. As the book shows, there are sufficiently many interesting applications of jump Markov processes to warrant a special treatment. The second half is a collection of applications developed at Bell Laboratories. The applications cover large areas of the theory of communication networks: circuit switched transmission, packet transmission, multiple access channels, and the M/M/1 queue. Aspects of parallel computation are covered as well including, basics of job allocation, rollback-based parallel simulation, assorted priority queueing models that might be used in performance models of various computer architectures, and asymptotic coupling of processors. These applications are thoroughly analysed using the tools developed in the first half of the book.
The Festival of Trees, Tu Bishevat, celebrates nature's rebirth after winter. Seder Tu Bishevat not only marks the observance but celebrates Judaism's appreciation of the larger cycles of nature as the work of God. This volume contains two Seders: Seder I addresses both adults and children of various ages; Seder II is specifically designed for the understanding and participation of younger children. The book includes prayers and selections from traditional sources, original poetry by Rabbi Fisher and 20 songs with complete chording for guitar. Ideal for congregational or home use.
This book shows JavaScript developers how to build highly dependable JavaScript projects using the Immutable.js framework. About This Book Master the Immutable.js JavaScript framework Build predictable and dependable applications using immutability Control how data flows through your application Control the effects of data flow in your user interface using Node.js Who This Book Is For This book is for JavaScript developers, from intermediate level and beyond, who need to create dependable JavaScript projects, using the Immutable.js JavaScript framework. What You Will Learn Learn how Immutable.js can improve the dependability of your JavaScript code Discover how to create Immutable data, and work with persistent changes See how to combine and filter collections, and find items Learn how to work with sequences and side effects Sort collections, maps, and sets Get to know tricks to avoid processing chains Compare and move between lists, sets, and maps Work with Immutable patterns and Immutable architecture In Detail Immutable.js is a JavaScript library that will improve the robustness and dependability of your larger JavaScript projects. All aspects of the Immutable.js framework are covered in this book, and common JavaScript situations are examined in a hands-on way so that you gain practical experience using Immutable.js that you can apply across your own JavaScript projects. The key to building robust JavaScript applications using immutability is to control how data flows through your application, and how the side-effects of these flows are managed. Many problems that are difficult to pinpoint in large codebases stem from data that's been mutated where it shouldn't have been. With immutable data, you rule out an entire class of bugs. Mastering Immutable.js takes a practical, hands-on approach throughout, and shows you the ins and outs of the Immutable.js framework so that you can confidently build successful and dependable JavaScript projects. Style and Approach Adam Boduch covers all the key concepts and benefits of immutability, and then presents you with hands-on practical experience on implementing immutability in your JavaScript projects.
Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projects Learn from practical Python code examples and visualizations that bring essential algorithmic concepts to life Start with simple heuristics and improve them as your data pipeline matures Avoid bad conclusions by implementing foundational error analysis techniques Communicate your results with basic data visualization techniques Master basic machine learning techniques, starting with linear regression and random forests Perform classification and clustering on both vector and graph data Learn the basics of graphical models and Bayesian inference Understand correlation and causation in machine learning models Explore overfitting, model capacity, and other advanced machine learning techniques Make informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Retro 4 is the latest collection of the best, the funniest, the strangest, and the most affecting stories from the award winning literary magazine, Joyland.
SON OF MAN I'm known as: Michael - The Chosen One - Ancient of Days - Elect One - Adam As foretold by the scriptures who liveth amongst you now for these last days in this sacred Book of Adam 45 And so it is written, The first man Adam was made a living soul; the last cAdam was made a dquickening spirit 1 Corinthians 15:45
There are 7 Kingdoms that are inside the Telestial Kingdom. Adam of the Old Testament breaks this sacred information in the last days. This translation was orginally written in Hebrew. Ben Adam translates it to perfect English. The seven kingdoms are from top to bottom. When one arrives after the 1000 year millenium and after Christ's final judgement, if assigned to this kingdom you start at what Adam calls "Telestial 0". There are 3 kingdoms below Telestial zero and 3 above. Adam says they surpass all understanding and comprehension but gives us the first real indepth look of each kingdom which are all found here: sites.google.com/view/lawsofthetelestialkingdom/ The 3 Kingdom's above are "beyond imagination" but explained in detail The 3 Kingdom's below are "from similarities to earth life with a real purge to take place yearly, however since the body is resurrected, one cannot die". -Adam, Prophet of the Old Testament and first born with Eve
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