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Introduction to Software Testing
by Paul Ammann Jeff OffuttExtensively class-tested, this textbook takes an innovative approach to software testing: it defines testing as the process of applying a few well-defined, general-purpose test criteria to a structure or model of the software. It incorporates the latest innovations in testing, including techniques to test modern types of software such as OO, web applications, and embedded software. The book contains numerous examples throughout. An instructors solution manual, PowerPoint slides, sample syllabi, additional examples and updates, testing tools for students, and example software programs in Java are available on an extensive website.
Introduction to Software Testing: A Practical Guide to Testing, Design, Automation, and Execution
by Panagiotis LeloudasGet started and hit the ground running in the world of software testing. This simple and practical guide teaches you the fundamentals of software testing, with no prior experience required. You will start by learning functional and non-functional software testing. Then you will gain an understanding of the primary responsibilities of a tester in the Software Development Life Cycle and how to plan and execute testing activities. You will also learn how testing applies to an agile environment, what challenges you might face in your day-to-day life as a tester, and how to overcome them. You will learn the most commonly used test design techniques, with ample examples and exercises to practice yourself. By the end of this book, you will understand the software testing ecosystem, from its types, techniques, and tools, to test planning, execution, and reporting. What You Will Learn Master the fundamentals of Software TestingGain an understanding of different software testing typesPlan and execute testing activitiesApply test design techniques to concrete examples Who This Book Is For Software testers, developers, project managers, and other stakeholders involved in software testing.
Introduction to Software for Chemical Engineers
by Mariano Martín MartínThe field of chemical engineering and its link to computer science is in constant evolution, and engineers have an ever-growing variety of tools at their disposal to tackle everyday problems. Introduction to Software for Chemical Engineers, Third Edition provides a quick guide to the use of various computer packages for chemical engineering applications. It covers a range of software applications, including Excel and general mathematical packages such as MATLAB®, MathCAD, R, and Python. Coverage also extends to process simulators such as CHEMCAD, HYSYS, and Aspen; equation-based modeling languages such as gPROMS; optimization software such as GAMS, AIMS, and Julia; and specialized software like CFD or DEM codes. The different packages are introduced and applied to solve typical problems in fluid mechanics, heat and mass transfer, mass and energy balances, unit operations, reactor engineering, and process and equipment design and control.This new edition is updated throughout to reflect software updates and new packages. It emphasizes the addition of SimaPro due to the importance of life cycle assessment, as well as general statistics software, SPSS, and Minitab that readers can use to analyze lab data. The book also includes new chapters on flowsheeting drawing, process control, and LOOP Pro, as well as updates to include Pyomo as an optimization platform, reflecting current trends. The text offers a global idea of the capabilities of the software used in the chemical engineering field and provides examples for solving real-world problems.Written by leading experts, this handbook is a must-have reference for chemical engineers looking to grow in their careers through the use of new and improving computer software. Its user-friendly approach to simulation and optimization, as well as its example-based presentation of the software, makes it a perfect teaching tool for both undergraduate- and graduate-level readers.
Introduction to Space Archaeology
by Cheng Wang Xinyuan Wang Fulong Chen Huadong GuoThis book presents the basic principles and the latest advances in space archaeology. Following general reviews of the state of the art of Earth observation technologies and archaeology, the book introduces the principles and methods of space archaeology, remote sensing methods for archaeological survey, and integrated archaeological survey methods including geophysics, virtual reality, web technologies, global positioning systems (GPS), geographical information systems (GIS), and big data. The book then presents two chapters on case studies of word heritage sites in Asia, Europe, Africa, and Americas, including three major world heritage sites in China: The Great Wall, Grand Canal, and Silk Road. The last chapter of the book discusses the future of space archaeology. This book has an interdisciplinary appeal and scholars with an interest in cultural heritage and remote sensing technologies for Earth value its contribution.
Introduction to SparxSystems Enterprise Architect: Documenting Enterprise Architecture in the Most Affordable Enterprise Architecture Suite
by Peter DoomenSparxSystems Enterprise Architect (EA) is a logical choice for many companies and organizations: it combines a broad feature set with an affordable price. However, the robust range of features makes starting to use this fantastic tool a bit intimidating. Enter Michael, a fictional consultant and experienced enterprise architect featured throughout the book to show you how to populate a model with elements and connectors, and how to create diagrams that speak to the audience: management, project managers, internal audit, business stakeholders and IT representatives. As the book progresses Michael's duties continue with more advanced topics including the use of workflow tools such as Kanban boards. You'll even see how to present directly from Enterprise Architect so that latest information can be shown straight from the source! The last days of Michael’s mission are devoted to fine-tuning the enterprise architecture model with the help of tagged values. And to leave the model in the hands of the customer by creating a custom toolbox. What You'll Learn Setup EA and populate a model with elements, connectors and diagramsReview the Big Five of enterprise architect: Model, Packages, Diagrams, Elements, ConnectorsImplement evidence-based best practice strategies aligned with overall goalsWho This Book Is ForNon-technical users who use EA mainly to document entire landscapes.
Introduction to Static Analysis: An Abstract Interpretation Perspective
by Xavier Rival Kwangkeun YiA self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users.Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of development, including verification of specifications and programs, the synthesis of optimized code, and the refactoring and maintenance of software applications. This book offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. By offering a quick and comprehensive introduction for nonspecialists, the book fills a notable gap in the literature, which until now has consisted largely of scientific articles on advanced topics.The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants; more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features and answering a wide range of semantic questions; and techniques for implementing and using static analysis tools. It begins with background information and an intuitive and informal introduction to the main static analysis principles and techniques. It then formalizes the scientific foundations of program analysis techniques, considers practical aspects of implementation, and presents more advanced applications. The book can be used as a textbook in advanced undergraduate and graduate courses in static analysis and program verification, and as a reference for users, developers, and experts.
Introduction to Statistical Computing and Visualization Using R
by Megha RathiThe book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R. Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code
Introduction to Statistics Through Resampling Methods and R
by Phillip I. GoodA highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."--Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises--with selected "hints"--scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.
Introduction to Statistics: Using Interactive MM*Stat Elements
by Wolfgang Karl Härdle Sigbert Klinke Bernd RönzThis book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters.The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.
Introduction to Stochastic Processes Using R
by Shailaja Deshmukh Sivaprasad MadhiraThis textbook presents some basic stochastic processes, mainly Markov processes. It begins with a brief introduction to the framework of stochastic processes followed by the thorough discussion on Markov chains, which is the simplest and the most important class of stochastic processes. The book then elaborates the theory of Markov chains in detail including classification of states, the first passage distribution, the concept of periodicity and the limiting behaviour of a Markov chain in terms of associated stationary and long run distributions. The book first illustrates the theory for some typical Markov chains, such as random walk, gambler's ruin problem, Ehrenfest model and Bienayme-Galton-Watson branching process; and then extends the discussion when time parameter is continuous. It presents some important examples of a continuous time Markov chain, which include Poisson process, birth process, death process, birth and death processes and their variations. These processes play a fundamental role in the theory and applications in queuing and inventory models, population growth, epidemiology and engineering systems. The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety of fields, with its extension to a renewal process. The book also presents important basic concepts on Brownian motion process, a stochastic process of historic importance. It covers its few extensions and variations, such as Brownian bridge, geometric Brownian motion process, which have applications in finance, stock markets, inventory etc. The book is designed primarily to serve as a textbook for a one semester introductory course in stochastic processes, in a post-graduate program, such as Statistics, Mathematics, Data Science and Finance. It can also be used for relevant courses in other disciplines. Additionally, it provides sufficient background material for studying inference in stochastic processes. The book thus fulfils the need of a concise but clear and student-friendly introduction to various types of stochastic processes.
Introduction to Stochastic Processes and Simulation
by Gerard-Michel CochardMastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Master's level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.
Introduction to Supply Chain Analytics: With Examples in AnyLogic and anyLogistix Software (Classroom Companion: Business)
by Dmitry IvanovThe book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management”, it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience.Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling.
Introduction to Supply Chain Management Technologies (Resource Management)
by David Frederick Ross Frederick S. Weston Stephen W.It is almost impossible to conceive of the concept and practical application of supply chain management (SCM) without linking it to the enabling power of today‘s information technologies. Building upon the foundations of the first edition, Introduction to Supply Chain Management Technologies, Second Edition details the software toolsets and suites
Introduction to Surgical Trials
by Norimasa Nakamura Olufemi R. Ayeni Jón Karlsson Jason L. Koh Stephen LymanFilling a gap in literature, this book examines surgical trials with a special focus on the underlying principles, challenges, and best practices to successfully conduct rigorous surgical research.While randomized controlled trials (RCTs) remain the gold standard for evaluation of the safety and efficacy of most medical interventions, they are particularly difficult to implement successfully in the context of surgery. As a result, recruitment rates are often extremely low, crossover from non-operative to operative is common, and patients randomly allocated to surgery often simply decline to have the procedure. All of these challenges call into question the recent generalizability and fundamental quality of traditional surgical RCTs. As such, this book explores advanced alternative trial design methods and describes the current regulatory environment around the world. Designed as a practical guide, it is a valuable tool for surgeons, epidemiologist and biostatisticians involved in this challenging field.
Introduction to SystemVerilog
by Ashok B. MehtaThis book provides a hands-on, application-oriented guide to the entire IEEE standard 1800 SystemVerilog language. Readers will benefit from the step-by-step approach to learning the language and methodology nuances, which will enable them to design and verify complex ASIC/SoC and CPU chips. The author covers the entire spectrum of the language, including random constraints, SystemVerilog Assertions, Functional Coverage, Class, checkers, interfaces, and Data Types, among other features of the language. Written by an experienced, professional end-user of ASIC/SoC/CPU and FPGA designs, this book explains each concept with easy to understand examples, simulation logs and applications derived from real projects. Readers will be empowered to tackle the complex task of multi-million gate ASIC designs.Provides comprehensive coverage of the entire IEEE standard SystemVerilog language;Covers important topics such as constrained random verification, SystemVerilog Class, Assertions, Functional coverage, data types, checkers, interfaces, processes and procedures, among other language features;Uses easy to understand examples and simulation logs; examples are simulatable and will be provided online;Written by an experienced, professional end-user of ASIC/SoC/CPU and FPGA designs.This is quite a comprehensive work. It must have taken a long time to write it. I really like that the author has taken apart each of the SystemVerilog constructs and talks about them in great detail, including example code and simulation logs. For example, there is a chapter dedicated to arrays, and another dedicated to queues - that is great to have! The Language Reference Manual (LRM) is quite dense and difficult to use as a text for learning the language. This book explains semantics at a level of detail that is not possible in an LRM. This is the strength of the book. This will be an excellent book for novice users and as a handy reference for experienced programmers. Mark GlasserCerebras Systems
Introduction to Systems Thinking and Interdisciplinary Engineering (Synthesis Lectures on Engineering, Science, and Technology)
by Horst CzichosThis concise textbook introduces a systems approach to technology, describing tribological, mechatronic, cyber-physical systems, and the technologic concept of Industry 4.0 to students in a range of engineering domains. “Technology” in this book refers to the totality of human-made, benefit-oriented products, based on engineered combinations of material, energy and information. Dr. Czichos examines technology in this volume in the context of systems thinking with regard to the following main technology areasTechnical systems with “interacting surfaces in relative motion” especially in mechanical engineering, production, and transport; including the analysis of friction-induced energy losses and wear-induced materials dissipation. Technical systems that require a combination of mechanics, electronics, controls, and computer engineering for needs of industry and society. Technical systems with a combination of mechatronics and internet communication. Cyber-physical Systems for the digitalization of Industry in the development project Industry 4.0.Considers technology as combination of the physical world and the digital virtual world of information and communication.Describes the product cycle of technical systems and the corner stones of technology: material, energy and information.Presents a holistic view of technology and engineering.
Introduction to Teaching with Webex
by M. JaneLearn to take your classroom curriculum digital using Cisco Webex&’s unique video conferencing features to create engaging lessons, collaborative activities, and more. Introduction to Teaching with Webex will help teachers of all grade levels master the basics of communication and education using the Cisco Webex video conferencing service. Learn how to connect with students, record your Webex meetings, control access to lessons, contribute to live chat streams, and conduct webinars. Webex newbie? No worries! Experienced educator and author M. Jane takes readers step-by-step through the most common Webex features and terminology. Packed with tips, tricks, troubleshooting, helpful screenshots, and activity ideas to keep students of all ages engaged, this book is indispensable as the future of teaching continues to evolve.
Introduction to Teaching with Zoom
by Madison SaltersA guide to using Zoom&’s unique video conferencing features to connect with students—and make learning more limitless. Introduction to Teaching with Zoom helps teachers of all grade levels master the basics of communication and education using the Zoom video conferencing service. With step-by-step instructions paired with helpful screenshots, you can learn how to connect with students, record your Zoom meetings, control access to lessons, contribute to live chat streams, and conduct webinars. Zoom newbie? No worries! Madison Salters takes you through the most common Zoom features and terminology. Whether public grade schools have been temporarily closed, or colleges and universities are looking to invest in distance learning, teachers need to be armed and ready to do what they do best no matter the platform. Packed with tips, tricks, troubleshooting, and lesson plans to keep students of all ages engaged, this book is indispensable as the future of teaching continues to evolve.
Introduction to Theory of Control in Organizations (Systems Evaluation, Prediction, and Decision-Making)
by Vladimir N. Burkov Mikhail Goubko Nikolay Korgin Dmitry NovikovIntroduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach to management science by introducing the optimization and game-theoretical tools required
Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
by Genshiro KitagawaPraise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in Medicine What distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters. –MAA Reviews Introduction to Time Series Modeling with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely available R package TSSS to perform computations for their own real-world time series problems. This book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models and model selection by AIC. Along with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models. About the Author: Genshiro Kitagawa is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems.
Introduction to Topological Quantum Computation
by Jiannis K. PachosCombining physics, mathematics and computer science, topological quantum computation is a rapidly expanding research area focused on the exploration of quantum evolutions that are immune to errors. In this book, the author presents a variety of different topics developed together for the first time, forming an excellent introduction to topological quantum computation. The makings of anyonic systems, their properties and their computational power are presented in a pedagogical way. Relevant calculations are fully explained, and numerous worked examples and exercises support and aid understanding. Special emphasis is given to the motivation and physical intuition behind every mathematical concept. Demystifying difficult topics by using accessible language, this book has broad appeal and is ideal for graduate students and researchers from various disciplines who want to get into this new and exciting research field.
Introduction to Topological Quantum Matter & Quantum Computation
by Tudor D. StanescuWhat is "topological" about topological quantum states? How many types of topological quantum phases are there? What is a zero-energy Majorana mode, how can it be realized in a solid-state system, and how can it be used as a platform for topological quantum computation? What is quantum computation and what makes it different from classical computation?Addressing these and other related questions, Introduction to Topological Quantum Matter & Quantum Computation provides an introduction to and a synthesis of a fascinating and rapidly expanding research field emerging at the crossroads of condensed matter physics, mathematics, and computer science. Providing the big picture and emphasizing two major new paradigms in condensed matter physics – quantum topology and quantum information – this book is ideal for graduate students and researchers entering this field, as it allows for the fruitful transfer of ideas amongst different areas, and includes many specific examples to help the reader understand abstract and sometimes challenging concepts. It explores the topological quantum world beyond the well-known topological insulators and superconductors and unveils the deep connections with quantum computation. It addresses key principles behind the classification of topological quantum phases and relevant mathematical concepts and discusses models of interacting and noninteracting topological systems, such as the toric code and the p-wave superconductor. The book also covers the basic properties of anyons, and aspects concerning the realization of topological states in solid state structures and cold atom systems.Topological quantum computation is also presented using a broad perspective, which includes elements of classical and quantum information theory, basic concepts in the theory of computation, such as computational models and computational complexity, examples of quantum algorithms, and key ideas underlying quantum computation with anyons. This new edition has been updated throughout, with exciting new discussions on crystalline topological phases, including higher-order topological insulators; gapless topological phases, including Weyl semimetals; periodically-driven topological insulators; and a discussion of axion electrodynamics in topological materials.Key Features:· Provides an accessible introduction to this exciting, cross-disciplinary area of research.· Fully updated throughout with new content on the latest result from the field.· Authored by an authority on the subject.Tudor Stanescu is a professor of Condensed Matter Theory at West Virginia University, USA. He received a B.S. in Physics from the University of Bucharest, Romania, in 1994 and a Ph.D. in Theoretical Physics from the University of Illinois at Urbana Champaign in 2002. He was a Postdoctoral Fellow at Rutgers University and at the University of Maryland from 2003 to 2009. He joined the Department of Physics and Astronomy at West Virginia University in Fall 2009. Prof. Stanescu’s research interests encompass a variety of topics in theoretical condensed matter physics including topological insulators and superconductors, topological quantum computation, ultra-cold atom systems in optical lattices, and strongly correlated materials, such as, for example, cuprate high-temperature superconductors. His research uses a combination of analytical and numerical tools and focuses on understanding the emergence of exotic states of matter in solid state and cold atom structures, for example, topological superconducting phases that host Majorana zero modes, and on investigating the possibilities of exploiting these states as physical platforms for quantum computation.
Introduction to Tornado: Modern Web Applications with Python
by Michael Dory Brendan Berg Allison ParrishWalk through the basics of Tornado, the high-performance web server known for its speed, simplicity, and scalability on projects large and small. With this hands-on guide, you’ll learn how to use Tornado’s acclaimed features by working with several example applications. You also get best practices for using Tornado in the real world.Are you interested in creating a scalable social application, real-time analytics engine, or RESTful API—all with the power and simplicity of Python? This book shows you why Tornado is fantastic choice for writing powerful applications that are simple to create, extend, and deploy.Learn how to use Tornado’s lightweight and flexible templating languageExtend templates to repurpose headers, footers, layout grids, and other contentUse persistent storage like MongoDB to store, serve, and edit dynamic contentExplore Tornado’s ability to make asynchronous web requestsSecure your application against cookie and request vulnerabilitiesAuthenticate with external services, using Tornado’s auth moduleAdopt deployment strategies that help harden your application and increase request throughput
Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
by Jindong Wang Yiqiang ChenTransfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.
Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems
by Shashank Mohan JainGet a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.What You Will LearnUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)Master Transformer architecture through practical examplesUse the Hugging Face library in Transformer-based language modelsCreate a simple code generator in Python based on Transformer architectureWho This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)