- Table View
- List View
Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
by null Valery ManokhinElevate your machine learning skills using the Conformal Prediction framework for uncertainty quantification. Dive into unique strategies, overcome real-world challenges, and become confident and precise with forecasting.Key FeaturesMaster Conformal Prediction, a fast-growing ML framework, with Python applicationsExplore cutting-edge methods to measure and manage uncertainty in industry applicationsUnderstand how Conformal Prediction differs from traditional machine learningBook DescriptionIn the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. The book addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework to manage uncertainty in various ML applications. Learn how Conformal Prediction excels in calibrating classification models, produces well-calibrated prediction intervals for regression, and resolves challenges in time series forecasting and imbalanced data. Discover specialised applications of conformal prediction in cutting-edge domains like computer vision and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. With practical examples in Python using real-world datasets, expert insights, and open-source library applications, you will gain a solid understanding of this modern framework for uncertainty quantification. By the end of this book, you will be able to master Conformal Prediction in Python with a blend of theory and practical application, enabling you to confidently apply this powerful framework to quantify uncertainty in diverse fields.What you will learnThe fundamental concepts and principles of conformal predictionLearn how conformal prediction differs from traditional ML methodsApply real-world examples to your own industry applicationsExplore advanced topics - imbalanced data and multi-class CPDive into the details of the conformal prediction frameworkBoost your career as a data scientist, ML engineer, or researcherLearn to apply conformal prediction to forecasting and NLPWho this book is forIdeal for readers with a basic understanding of machine learning concepts and Python programming, this book caters to data scientists, ML engineers, academics, and anyone keen on advancing their skills in uncertainty quantification in ML.
A Practical Guide to AutoCAD 2025
by Tracy Chadwick Rick EllisCongratulations on choosing this course to help you learn how to use AutoCAD 2025. The term “practical” is used in the title because this course focuses on what you need to effectively use AutoCAD 2025, and does not complicate your learning experience with unnecessary details of every feature in the product. Should you want to pursue aspects of features and functionality in greater detail than provided in this course, you are directed and guided to that information. Each lesson contains the concepts and principles of each feature to provide you with the background and foundation of knowledge that you need to complete the lesson. You then work through exercises to reinforce your understanding and provide you with practice on common tasks that other professionals are performing with AutoCAD 2025 in the workplace every day.
A Practical Guide to Call Center Technology: Select the Right Systems for Total Customer Satisfaction
by Andrew WaiteGet the most out of ACDs (automatic call distributors) and other complex systems in order to boost customer satisfaction and increase sales Includes three ready to use RFPs (request for proposals) for buying an ACD, computer telephony system, or recording
Practical Guide to ChIP-seq Data Analysis (Focus Computational Biology Series)
by Borbala Mifsud Kathi Zarnack Anaïs F BardetChromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through the steps of ChIP-seq analysis: from quality control, through peak calling, to downstream analyses. It will help experimental biologists to design their ChIP-seq experiments with the analysis in mind, and to perform the basic analysis steps themselves. It also aims to support bioinformaticians to understand how the data is generated, what the sources of biases are, and which methods are appropriate for different analyses.
Practical Guide to Clinical Data Management
by Susanne ProkschaThe management of clinical data, from its collection during a trial to its extraction for analysis, has become critical in preparing a regulatory submission and obtaining approval to market a treatment. Groundbreaking on its initial publication nearly 14 years ago, and evolving with the field in each iteration since then, this latest volume includes revisions to all chapters to reflect the recent updates to ICH E6, good clinical practices, electronic data capture, and interactive response technologies. Keeping the coverage practical, the author focuses on the most critical information that impacts clinical trial conduct, providing a full end-to-end overview for clinical data managers.Features: Provides an introduction and background information for the spectrum of clinical data management tasks. Outstanding text in the industry and has been used by the Society for Clinical Data Management in creating its certification exam. Explains the high-level flow of a clinical trial from creation of the protocol through study lock. Reflects electronic data capture and interactive response technologies. Discusses using the concept of three phases in the clinical data management of a study: study startup, study conduct, and study closeout, to write procedures and train staff.
A Practical Guide to Content Delivery Networks
by Gilbert HeldFollowing in the tradition of its popular predecessor, A Practical Guide to Content Delivery Networks, Second Edition offers an accessible and organized approach to implementing networks capable of handling the increasing data requirements of today's always on mobile society. Describing how content delivery networks (CDN) function, it provides
A Practical Guide to CRM: Building More Profitable Customer Relationships
by Janice ReynoldsIn today's global economy the customer has more and better choices than ever before, bringing on one of the biggest challenges the business community faces today - customer loyalty and retention. To thrive in today's customer-driven economy a company need
A Practical Guide to Data Structures and Algorithms using Java (Chapman & Hall/CRC Applied Algorithms and Data Structures series)
by Sally. A Goldman Kenneth. J GoldmanAlthough traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to
A Practical Guide to Database Design (Second Edition)
by Rex HoganFully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition, is intended for those involved in the design or development of a database system or application. It begins by focusing on how to create a logical data model where data is stored "where it belongs." Next, data usage is reviewed to transform the logical model into a physical data model that will satisfy user performance requirements. Finally, it describes how to use various software tools to create user interfaces to review and update data in a database. Organized into 11 chapters, the book begins with an overview of the functionality of database management systems and how they guarantee the accuracy and availability of data. It then describes how to define and normalize data requirements to create a logical data model, then map them into an initial solution for a physical database. The book next presents how to use an industry-leading data modeling tool to define and manage logical and physical data models. After that, it describes how to implement a physical database using either Microsoft Access or SQL Server and how to use Microsoft Access to create windows interfaces to query or update data in tables. The last part of the book reviews software tools and explores the design and implementation of a database using as an example a much more complex data environment for a University. The book ends with a description of how to use PHP to build a web-based interface to review and update data in a database.
The Practical Guide to Digital Imaging: Mastering the Terms, Technologies, and Techniques
by Michelle PerkinsThis thorough guide to digital photography provides instructions for every step of making photographs with a digital camera, from capturing an image to producing beautiful prints.
Practical Guide to Digital Manufacturing: First-Time-Right for Design of Products, Machines, Processes and System Integration
by Zhuming BiThis book covers the subject of digital manufacturing. It provides a practical guide for readers on using computer aided design (CAD), computer aided engineering (CAE) and computer aided manufacturing (CAM) and other computer assistive tools for the design of products, machines, processes and system integrations through the case studies of engineering projects. The book introduces a thorough theoretical foundation and discussion of the historical development, and enabling technologies of digital manufacturing. It also covers a broad range of computer aided tools for a variety of applications including: geometric modelling;assembly modelling;motion simulation;finite element analysis;manufacturing process simulation;machining programming;product data management; and,product lifecycle management. Practical Guide to Digital Manufacturing uses many real-world case studies to illustrate the discussed applications, making it easily readable for undergraduate and graduate students, as well as engineers with the needs of computer-aided design and manufacturing knowledge and skills.
The Practical Guide to Digital Transformation: Quickly Master the Essentials with Tips, Case Studies and Actionable Advice
by Antonio WeissDigital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionise the workplace it can feel impossible to keep up. Cut through the hype with this accessible guide to making end-to-end digital transformation happen.While technology offers the possibility for business improvement, successful digital transformation also requires an effective strategy, the right culture, change management, the ability to stimulate innovation and the knowledge of where to upskill and where to bring in new talent. The Practical Guide to Digital Transformation covers each of these factors and more by breaking the process down to 17 easy-to-follow and practical steps.Each chapter includes a case study of an organization getting it right, along with advice on putting the principle into action, key tips and tricks, and what you might say in your next meeting. This book also outlines how to start with the foundations of 'doing digital' and build from there, including data science, cyber security, workable technology, minimised stack duplication, data registers and good user experience. Quickly build confidence and make change happen with this actionable guide to the essentials of digital transformation.
The Practical Guide to HIPAA Privacy and Security Compliance
by Rebecca Herold Kevin BeaverFollowing in the footsteps of its bestselling predecessor, The Practical Guide to HIPAA Privacy and Security Compliance, Second Edition is a one-stop, up-to-date resource on Health Insurance Portability and Accountability Act (HIPAA) privacy and security, including details on the HITECH Act, the 2013 Omnibus Rule, and the pending rules. Updated and
A Practical Guide to Indie Game Marketing
by Joel DreskinLearn how to market for your indie game, even with a small budget and limited resources. <P><P>For those who want to earn a regular income from making indie games, marketing can be nearly as vital to the success of the game as the game itself. A Practical Guide to Indie Game Marketing provides you with the tools needed to build visibility and sell your game. With special focus on developers with small budgets and limited staff and resources, this book is packed with recommendations and techniques that you can put to use immediately. As a seasoned marketing professional, author Joel Dreskin provides insight into practical, real-world experiences from marketing numerous successful games and also shares tips on mistakes to avoid. Presented in an easy to read format, A Practical Guide to Indie Game Marketing includes information on establishing an audience and increasing visibility so you can build successes with your studio and games. <P><P>Through case studies, examples, guidelines and tips, you will learn best practices for developing plans for your game launches, PR, community engagement, channel promotions and more <P><P>Sample timelines help you determine how long in advance of a launch to prepare your first public communications, when to announce your game, as well as recommended timing for releasing different game assets <P><P>Book also includes marketing checklist 'cheat sheets', dos and don’ts and additional resources
A Practical Guide to Information Systems Process Improvement
by Anita Cassidy Keith GuggenbergerWhen you invest in expensive technology and systems, you want to get the most out of them. Process improvement has been used for years as an effective strategy to reduce costs, shorten cycle times, improve quality, and increase user satisfaction in other areas of business such as Quality, Manufacturing, and Engineering. While there are many books a
A Practical Guide to Information Systems Strategic Planning
by Anita CassidyThe foundation of a successful information systems strategic plan is the recognition that business direction and requirements must drive the IS strategy and computing architecture. A Practical Guide to Information Systems Strategic Planning, Second Edition outlines a systematic approach to guide you through the development of an effective IS plan t
Practical Guide to IT Problem Management (IT Pro Practice Notes)
by Andrew DixonSome IT organisations seem to expend all their energy firefighting – dealing with incidents as they arise and fixing, or patching over, the breakage. In organisations like this, restarting computers is seen as a standard method to resolve many issues. Perhaps the best way to identify whether an organisation understands problem management is to ask what they do after they have restarted the computer. If restarting the computer fixes the issue, it is very tempting to say that the incident is over and the job is done. Problem management recognises that things do not improve if such an approach is taken. Such organisations are essentially spending their time running to stay in the same place. Written to help IT organisations move forward, Practical Guide to IT Problem Management presents a combination of methodologies including understanding timelines and failure modes, drill down, 5 whys and divide and conquer. The book also presents an exploration of complexity theory and how automation can assist in the desire to shift left both the complexity of the problem and who can resolve it. The book emphasises that establishing the root cause of a problem is not the end of the process as the resolution options need to be evaluated and then prioritised alongside other improvements. It also explores the role of problem boards and checklists as well as the relationship between problem management and Lean thinking. This practical guide provides both a framework for tackling problems and a toolbox from which to select the right methodology once the type of problem being faced has been identified. In addition to reactive methods, it presents proactive activities designed to reduce the incidence of problems or to reduce their impact and complexity should they arise. Solving problems is often a combination of common sense and methodologies which may either be learnt the hard way or may be taught. This practical guide shows how to use problem solving tools and to understand how and when to apply them while upskilling IT staff and improving IT problem solving processes.
Practical Guide to Large Database Migration
by Preston ZhangIt is a major challenge to migrate very large databases from one system, say for example, to transfer critical data from Oracle to SQL Server. One has to consider several issues such as loss of data being transferred, the security of the data, the cost and effort, technical aspects of the software involved, etc. There a very few books that provide practical tools and the methodology to migrate data from one vendor to another. This book introduces the concepts in database migration with large sample databases. It provides step by step guides and screenshots for database migration tools. Many examples are shown for migrating Oracle, SQL Server and MySQL databases.
A Practical Guide to Level Design: From Theory to Practice, Diplomacy and Production
by Benjamin BauerWritten by an AAA industry expert with over 20 years of experience, this book offers comprehensive coverage of the practical skills that all successful level designers need to have. It covers everything from practical production skills to the social and soft skills required to thrive in the gaming industry. This book begins with a theoretical and abstract approach that sets a common language for the later hard skill applications and practical examples. These later chapters cover a wealth of practical skills for use during the concept phase, while creating layouts, scripting, and working with AI. This book includes essential chapters on topics such as social skills, soft skills, world-building, level design direction, production, as well as how to gain employment in the industry. This book will be of great interest to all level designers, content leads, and directors looking to enhance their skillset. It will also appeal to students of level and game design looking for tips on how to break into the industry.
Practical Guide to Life Science Databases
by Imad Abugessaisa Takeya KasukawaThis book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life.Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
A Practical Guide to Linux Commands, Editors, and Shell Programming
by Mark G. Sobell"First Sobell taught people how to use Linux . . now he teaches you the power of Linux. A must-have book for anyone who wants to take Linux to the next level. " -Jon "maddog" Hall, Executive Director, Linux International New Chapters on Python and MySQL-Covers Perl, too! Learn from hundreds of realistic, high-quality examples, and become a true Linux command-line guru! NEW! Covers busybox, Midnight Commander, screen, and sshfs/curlftpf Covers the Mac OS X command line and its unique tools 295-page reference covers 98 utilities, including Mac OS X commands! For use with all popular versions of Linux, including Ubuntu(tm), Fedora(tm), openSUSE(tm), Red Hat®, Debian, Mageia, Mint, Arch, CentOS, and Mac OS X, too! The Most Useful Tutorial and Reference, with Hundreds of High-Quality Examples for Every Popular Linux Distribution Linux is today''s dominant Internet server platform. System administrators and Web developers need deep Linux fluency, including expert knowledge of shells and the command line. This is the only guide with everything you need to achieve that level of Linux mastery. Renowned Linux expert Mark Sobell has brought together comprehensive, insightful guidance on the tools sysadmins, developers, and power users need most, and has created an outstanding day-to-day reference. This title is 100 percent distribution and release agnostic. Packed with hundreds of high-quality, realistic examples, it presents Linux from the ground up: the clearest explanations and most useful information about everything from filesystems to shells, editors to utilities, and programming tools to regular expressions. Use a Mac? You''ll find coverage of the Mac OS X command line, including OS X-only tools and utilities other Linux/UNIX titles ignore. Sobell presents a new MySQL chapter. There''s even an expert introduction to Python-today''s most valuable tool for automating complex, time-consuming administration tasks. A Practical Guide to Linux® Commands, Editors, and Shell Programming, Third Edition, is the only guide to deliver A MySQL chapter to get you started with this ubiquitous relational database management system (RDBMS) A masterful introduction to Python for system administrators and power users New coverage of the busybox single binary collection of utilities, the screen terminal session manager/multiplexer, and the mc (Midnight Commander) textual file manager, plus a new chapter on using ssh for secure communication In-depth coverage of the bash and tcsh shells, including a complete discussion of environment, inheritance, and process locality, plus coverage of basic and advanced shell programming Practical explanations of 98 core utilities, from aspell to xargs, including printf and sshfs/curlftpfs, PLUS Mac OS X-specific utilities from ditto to SetFile Expert guidance on automating remote backups using rsync Dozens of system security tips, including step-by-step walkthroughs of implementing secure communications using ssh and scp Tips and tricks for customizing the shell, including step values, sequence expressions, the eval builtin, and implicit command-line continuation High-productivity editing techniques using vim and emacs A comprehensive, 295-page command reference section covering 98 utilities, including find, grep, sort, and tar Instructions for updating systems using apt-get and yum And much more, including coverage of BitTorrent, gawk, sed, find, sort, bzip2, and regular expressions.
Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications (River Publishers Series in Rapids in Computing and Information Science and Technology)
by T. Mariprasath Kumar Reddy Cheepati Marco RiveraThis is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries. Readers will gain a thorough understanding of Scikit-learn, TensorFlow, PyTorch, Keras, and other pivotal libraries like XGBoost, LightGBM, and CatBoost, which are integral for efficient model development and deployment.The book delves into various neural network architectures, providing readers with a solid foundation in understanding and applying these models. Beginning with the basics of the Perceptron and its application in digit classification, it progresses to more complex structures such as multilayer perceptrons for financial forecasting, radial basis function networks for air quality prediction, and convolutional neural networks (CNNs) for image classification. Additionally, the book covers recurrent neural networks (RNNs) and their variants like long short-term memory (LSTM) and gated recurrent units (GRUs), which are crucial for time-series analysis and sequential data applications.Supervised machine learning algorithms are meticulously explained, with practical examples to illustrate their application. The book covers logistic regression and its use in predicting sports outcomes, decision trees for plant classification, random forests for traffic prediction, and support vector machines for house price prediction. Gradient boosting machines and their applications in genomics, AdaBoost for bioinformatics data classification, and extreme gradient boosting (XGBoost) for churn prediction are also discussed, providing readers with a robust toolkit for various predictive tasks.Unsupervised learning algorithms are another significant focus of the book, introducing readers to techniques for uncovering hidden patterns in data. Hierarchical clustering for gene expression data analysis, principal component analysis (PCA) for climate predictions, and singular value decomposition (SVD) for signal denoising are thoroughly explained. The book also explores applications like robot navigation and network security, demonstrating the versatility of these techniques.Natural language processing (NLP) is comprehensively covered, highlighting its fundamental concepts and various applications. The book discusses the overview of NLP, its fundamental concepts, and its diverse applications such as chatbots, virtual assistants, clinical NLP applications, and social media analytics. Detailed sections on text pre-processing, syntactic analysis, machine translation, text classification, named entity recognition, and sentiment analysis equip readers with the knowledge to build sophisticated NLP models.The final chapters of the book explore generative AI, including generative adversarial networks (GANs) for image generation, variational autoencoders for vibrational encoder training, and autoregressive models for time series forecasting. It also delves into Markov chain models for text generation, Boltzmann machines for pattern recognition, and deep belief networks for financial forecasting. Special attention is given to the application of recurrent neural networks (RNNs) for generation tasks, such as wind power plant predictions and battery range prediction, showcasing the practical implementations of generative AI in various fields.
Practical Guide to Machine Vision Software
by Kye-Si Kwon Steven ReadyFor both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions for their own machine vision applications. A discussion of the concepts involved in programming the Vision Development Module rounds off the book, while example problems and exercises are included for training purposes as well as to further explain the concept of machine vision.With its step-by-step guide and clear structure, this is an essential reference for beginners and experienced researchers alike.
A Practical Guide To Measuring Usability: 72 Answers To The Most Common Questions About Quantifying The Usability Of Websites And Software
by Jeff SauroA detailed and readable guide that answers the most common questions that arise when measuring the usability of websites, software or cellphones. What measures do you take? What do have users do? What questionnaires do you use? What about sample size and statistical analysis?