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Hybride KI mit Machine Learning und Knowledge Graphs: Innovative Lösungen aus der Praxis
by Thomas Hoppe Knut Hinkelmann Bernhard G. HummSeit den 2010er Jahren hat die Künstliche Intelligenz (KI) durch Erfolge im Machine Learning (ML) einen enormen Schub erfahren. Einerseits durch die stark angewachsene Menge verfügbarer digitaler Daten und andererseits durch Innovationen im Bereich der Künstlichen Neuronalen Netze und des Deep Learning (DL). Wissensbasierte KI umfasst neben traditionellen Expertensystemen und Regelsystemen auch die Technologien und Standards, welche im Rahmen der Semantic Web Initiative seit den 1990er Jahren entwickelt wurden. Sie ermöglichten unter anderem die Entwicklung umfangreicher Knowledge Graphs (Wissensnetze). Hybride KI Ansätze kombinieren Machine Learning und wissensbasierte KI. Da sie als erfolgversprechend gelten, werden sie seit Jahren erforscht. Dieser Sammelband zeigt, wie innovative hybride KI-Verfahren bereits heute erfolgreich in der Praxis eingesetzt werden. Dies ist ein Open Access-Buch.
Hydraulically Actuated Hexapod Robots
by Kenzo Nonami Ranjit Kumar Barai Addie Irawan Mohd Razali DaudLegged robots are a promising locomotion system, capable of performing tasks that conventional vehicles cannot. Even more exciting is the fact that this is a rapidly developing field of study for researchers from a variety of disciplines. However, only a few books have been published on the subject of multi-legged robots. The main objective of this book is to describe some of the major control issues concerning walking robots that the authors have faced over the past 10 years. A second objective is to focus especially on very large hydraulically driven hexapod robot locomotion weighing more than 2,000 kg, making this the first specialized book on this topic. The 10 chapters of the book touch on diverse relevant topics such as design aspects, implementation issues, modeling for control, navigation and control, force and impedance control-based walking, fully autonomous walking, walking and working tasks of hexapod robots, and the future of walking robots. The construction machines of the future will very likely resemble hydraulically driven hexapod robots like the ones described in this book - no longer science fiction but now a reality.
Hydrogeological Hazard Susceptibility and Community Risk Perception in Rwanda: A Case Study of Floods and Landslides
by Lanhai Li Richard Mind’jeThis book employs qualitative and quantitative methods to assess and scrutinize the impacts of climatic, topographic, land use, hydrologic and geologic factors on the hydrogeological disasters particularly flood and landslide in Rwanda. The hydrogeological hazard susceptibility and its spatial distribution is also mapped by integrating geospatial techniques and mathematical modeling approach through remote sensing and Geographical Information System (GIS). On the other hand, questionnaires and interview are used to evaluate the community's perception on the risk of hazards. The results unveiled different zones most susceptible to the incidence of both hazards as well as their main contributing factors. Furthermore, the results revealed that the government is perceived as responsible for all mitigation measures instead of being a shared responsibility, a perception that may also contribute to the increase in susceptibility. Therefore, it is necessary to deliver the extent of disaster-related courses and trainings in both schools (from primary to tertiary level) and local community members, which helps improving the public's awareness, understanding and ability by providing a new perspective toward disaster prevention and reduction. The book provides a reference for interested readers to understand the natural and human geography of Rwanda, the distribution of hydrogeological disasters, and the policy-making of disaster prevention and reduction.
Hydrological Data Driven Modelling
by Jimson Mathew Renji RemesanThis book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Hydrology in a Changing World: Challenges in Modeling (Springer Water)
by Shailesh Kumar Singh C. T. DhanyaThis book offers a comprehensive overview of the challenges in hydrological modeling. Hydrology, on both a local and global scale, has undergone dramatic changes, largely due to variations in climate, population growth and the associated land-use and land-cover changes. Written by experts in the field, the book provides decision-makers with a better understanding of the science, impacts, and consequences of these climate and land-use changes on hydrology. Further, offering insights into how the changing behavior of hydrological processes, related uncertainties and their evolution affect the modeling process, it is of interest for all researchers and practitioners using hydrological modeling.
Hyper-V 2016 Best Practices
by Benedict Berger Romain SerreHarness the power of Hyper-V 2016 to build high-performance infrastructures that suit your needs About This Book * Design and build a reliable and efficient Hyper-V infrastructure. * Fine-tune your Hyper-V performance by adopting network and storage best practices. * Manage, monitor, and protect your workloads with System Center and Microsoft Azure. Who This Book Is For If you are working with Hyper-V and want to optimize its performance and effectiveness, this book is for you. This book will help you close the gap between the Hyper-V lab and production environments. What You Will Learn * Automate and accelerate the deployment of Hyper-V host and nano servers * Create high availability solutions using failover clustering * Design redundant solutions with Hyper-V Replica * Protect your workloads by making a backup or learning disaster recovery * Use the best practices of network and storage * Master the performance and scalability of storage virtualization * Migrate your existing virtualization workloads to Hyper-V2016 * Manage your Hyper-V stack with System Center and Azure * Bridge the gap between the Hyper-V lab and production environment In Detail Hyper-V Server and Windows Server 2016 with Hyper-V provide best-in-class virtualization capabilities. Hyper-V is a Windows-based, very cost-effective virtualization solution with easy-to-use and well-known administrative consoles. This book will assist you in designing, implementing, and managing highly effective and highly available Hyper-V infrastructures. With an example-oriented approach, this book covers all the different tips and suggestions to configure Hyper-V and provides readers with real-world proven solutions. This book begins by deploying single clusters of High Availability Hyper-V systems including the new Nano Server. This is followed by steps to configure the Hyper-V infrastructure components such as storage and network. It also touches on necessary processes such as backup and disaster recovery for optimal configuration. The book does not only show you what to do and how to plan the different scenarios, but it also provides in-depth configuration options. These scalable and automated configurations are then optimized via performance tuning and central management ensuring your applications are always the best they can be. Style and approach This book covers Hyper-V best practices in a step-by-step manner with clear and concise examples.
Hyper-V Best Practices
by Benedict BergerThis book is intended for those who already have some basic experience with Hyper-V and now want to gain additional capabilities and knowledge of Hyper-V. If you have used Hyper-V in a lab environment before and now want to close the knowledge gap to transfer your Hyper-V environment to production, this is the book for you!
Hyper-V Network Virtualization Cookbook
by Ryan BoudIf you are a virtualization architect, engineer, or administrator who wants to leverage Hyper-V to create virtual networks (virtual data centers), this is the book for you. Prior knowledge of Hyper-V or a similar solution and a good understanding of the end goals of creating a virtual network is required.
Hyper-V Replica Essentials
by Vangel KrstevskiA fast-paced, step-by-step guide to configuring Hyper-V Replica in various deployment scenarios.a in various deployment scenarios.Hyper-V Replica Essentials is for Windows Server administrators who want to improve their system availability and speed up disaster recovery. You will need experience in Hyper-V deployment because Hyper-V Replica is built in the Hyper-V platform.
Hyper-V Security
by Eric Siron Andy SyrewiczeHyper-V Security is intended for administrators with a solid working knowledge of Hyper-V Server, Windows Server, and Active Directory. An administrator with a functional environment will be able to use the knowledge and examples present in this book to enhance security.
Hyper-V for VMware Administrators
by Brien PoseyLearn to deploy and support Hyper-V, building on what you know about VMware's vSphere. Whether you're looking to run both hypervisors in parallel or migrate completely, Hyper-V for VMware Administrators has everything you need to get started. The book begins with an overview of Hyper-V basics, including common management tasks such as creating a virtual machine and building a virtual network. You'll learn how to deploy a failover cluster to protect against the risk of Hyper-V becoming a single point of failure, and how to make virtual machines fault tolerant. System Center Virtual Machine Manager (SCVMM) is the preferred tool for managing large Hyper-V deployments, so you'll get to know this next and how it differs from VMware's vCenter solution, as well as how to manage a mixed environment including both vSphere and Hyper-V deployments. Like any server migration, a virtual server migration requires careful planning to ensure success. You'll find information here on the specifics of migrating from vSphere to Hyper-V, planning for down time, IP address differences, performance considerations, and more. For migrations to Hyper-V, SCVMM is once again the preferred tool, but you'll also be introduced to some of the excellent free tools available. One easily overlooked aspect of the migration process is the way in which it impacts your backup and recovery strategy. Knowing the best practices here can help you protect your Hyper-V environment. The book also covers how to monitor and maintain your Hyper-V environment once it's up and running, using features like Cluster-Aware Updating, automated live migrations, and availability sets. The concluding chapter shows you how to take advantage of the efficiencies provided by virtual machine libraries and templates. Approach Hyper-V with confidence, and the knowledge that you've planned for success, with Hyper-V for VMware Administrators. What you'll learn Find out how Hyper-V compares to VMware's vSphere, and how System Center Virtual Machine Manager compares to vCenter. Prevent Hyper-V from becoming a single point of failure with failover clustering. Work with System Center Virtual Machine Manager to manage both Hyper-V and vSphere environments through a single interface. Plan and execute a virtual server migration, including planning for downtime, IP address changes and performance considerations. Adapt your backup and recovery strategy for best results in your new Hyper-V environment. Monitor and maintain your Hyper-V clusters, using Cluster-Aware Updating, automated live migrations, and availability sets. Use virtual machine libraries and templates for increased efficiency. Who this book is for Readers should have a working knowledge of vSphere 5. 5. No prior experience with Hyper-V is expected. Table of Contents Chapter 1: Hyper-V Basics Chapter 2: Building a Failover Cluster Chapter 3: An Introduction to System Center Virtual Machine Manager (SCVMM) Chapter 4: Hyper-V and vSphere Coexistence with SCVMM Chapter 5: Using SCVMM for vSphere Migrations Chapter 6: Other Tools for Migrating Virtual Servers to Hyper-V Chapter 7: Hyper-V Backup Best Practices Chapter 8: Keeping Hyper-V Healthy Chapter 9: Virtual Machine Libraries and Templates
Hyper-lattice Algebraic Model for Data Warehousing
by Nabendu Chaki Soumya Sen Agostino CortesiThis book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice. They establish how Hyper-lattice supports dynamic insertion of elements in a partial order set with a partial hierarchy between the set members. The authors present the characteristics and the different properties, showing how propositions and lemmas formalize Hyper-lattice as a new algebraic structure.
Hyperconnectivity
by Adrian David CheokThis book explores the emerging field of hyperconnectivity looking at technology and systems that allow person-to-person and person-to-machine communication in networked organizations and the social and economic impact of this society. The author begins by presenting literary culture and interaction, focusing on the development of the Poetry Mix-Up platform, before looking at electronic and magnetic user interfaces for multisensory experiences. He then offers insights into the controversial topic of human intimacy with robots, looking at recent developments like the Kissinger device amongst others. The author concludes by exploring the potential social impact of hyperconnectivity and its future applications. Hyperconnectivity is essential reading to anyone who wants to deepen their understanding of this emerging field especially researchers, designers and engineers who are interested in multi-platform communication, digital networks and HCI.
Hyperconnectivity and Digital Reality: Towards the Eutopia of Being Human
by Kathrin Otrel-CassThis book addresses the topic of hyperconnectivity by building on, expanding, and critically examining issues that have to do with information communication technology (ICT) and networked societies. The book explores questions relating to attention and consciousness, techno-capitalism and communicative action taking. Adopting different philosophical angles to assess the challenges we face due to our entanglement with hyperconnected technologies, the book studies performance and performativity in a digitised world by considering the unfolding of our onlife and by looking at what this means to educated future scientists and engineers in a hyperconnected world. The book further discusses digital activities as the new constructs of ourselves and poses questions about how much literacy is needed for us not to be enslaved by those constructs. The book also explores the challenges of hyperconnectivity and the health sector to showcase the vulnerabilities we are increasingly exposed to. It makes clear that - since the boundaries between on- and offline are becoming increasingly blurred - we will require new, flexible frameworks that reconsider what it means to be human in a hyperconnected world.
Hyperconnectivity: Economical, Social and Environmental Challenges
by Dominique Carré Geneviève VidalThe use of digital information and communication technologies would be the traces of a social acceptability of the exploitation of all data, in the context of negotiations of uses. This is the reason why the users present themselves actors and contributors of the hyperconnectivity. We would thus witness a new form of dissemination, inviting user experience and social innovations. It is thus the victory of subordination by negotiated renunciation; A new form of serving, no longer that of the 1980s, with the counters and other services, which have become uncontrolled services - excepted when the users are overcome by restrictive ergonomics, revealing too much the subordination device - which joins the prescription apparently without an injunction. The lure is at its height when users and broadcasters come together to produce the services and goods, composing the business model, until the very existence of the companies, in particular the pure players. Crowdsourcing becomes legitimate: consumers create the content, deliver the data, the basis of the service sold (in a painless way because free access most of the time, indirect financing), the providers make available and administer the service, networks , Interfaces (representing considerable costs), also reputation to attract the attention of other consumers or contributors. In these conditions, the environmental stakes are considerable, so we propose another way of considering them, not as they are dealt with - material and pollution - but according to the prism of the relational practices analyzed in this volume.
Hyperdocumentation
by Olivier Le DeuffThe term "hyperdocumentation" is a hyperbole that seems to characterize a paradox. The leading discussions on this topic bring in diverse ideas such as that of data, the fantasy of Big Data, cloud computing, artificial intelligence, algorithmic processing, the flow of information and the outstanding successes of disinformation.The purpose of this book is to show that the current context of documentation is just another step in human construction that has been ongoing for not centuries but millennia and which, since the end of the 19th century, has been accelerating. Coined by Paul Otlet in 1934 in his Traite de Documentation, "hyperdocumentation" refers to the concept of documentation that is constantly being expanded and extended in its functionalities and prerogatives.While, according to Otlet, everything could potentially be documented in this way, increasingly we find that it is our lives that are being hyperdocumented. Hyperdocumentation manifests as an increase not only in the quantity of information that is processed but also in its scope, as information is progressively integrated across areas that were previously poorly documented or even undocumented.
Hypergraph Computation (Artificial Intelligence: Foundations, Theory, and Algorithms)
by Yue Gao Qionghai DaiThis open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complex than pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate the high-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book.
Hypergraph Theory
by Alain BrettoThis book provides an introduction to hypergraphs, its aim being to overcome the lack of recent manuscripts on this theory. In the literature hypergraphs have many other names such as set systems and families of sets. This work presents the theory of hypergraphs in its most original aspects, while also introducing and assessing the latest concepts on hypergraphs. The variety of topics, their originality and novelty are intended to help readers better understand the hypergraphs in all their diversity in order to perceive their value and power as mathematical tools. This book will be a great asset to upper-level undergraduate and graduate students in computer science and mathematics. It has been the subject of an annual Master's course for many years, making it also ideally suited to Master's students in computer science, mathematics, bioinformatics, engineering, chemistry, and many other fields. It will also benefit scientists, engineers and anyone else who wants to understand hypergraphs theory.
Hyperintelligence: How the Universe Engineers Its Own Mind
by Lars Tvede Jacob Bock Axelsen Daniel KäferA captivating journey through the evolution of human and artificial intelligence Hyperintelligence: How the Universe Engineers Its Own Mind is a must-read for anyone who wants a glimpse into the AI-driven future. This entertaining and thought-provoking book tells the story of how complexity and intelligence developed out of cosmic nothingness. The authors take a big-picture analytical approach to identify the major forces that set this process in motion and led straight to the development of AI. Taking a close look at three of these forces—complexity cascades, critical density, and creative pulse—they sketch out the next chapter in the 13.8-billion-year history of intelligence, highlighting the enormous opportunities that AI and other new technologies present. You'll find yourself fascinated, enlightened, reassured, and inspired to help drive innovation for a brighter and more intelligent future for all. Discover how the swirling particles released in the Big Bang came together to generate complexity and intelligence Gain an optimistic perspective on new technology when you see it as part of the big picture of biological and social evolution Learn about the latest data-driven predictions for the future of AI and other innovations Prepare to shift your mindset and embrace the possibilities AI offers Written in an accessible and engaging style, Hyperintelligence is a great read for business leaders, entrepreneurs, and anyone curious about, not only the future, but also how that future fits into the grand cosmic story that began 13.8 billion years ago.
Hyperledger Cookbook: Over 40 recipes implementing the latest Hyperledger blockchain frameworks and tools
by Xun (Brian) Wu Chuanfeng Zhang Andrew ZhangExplore the entire Hyperledger blockchain family, including frameworks such as Fabric, Sawtooth, Indy, Burrow, and Iroha; and tools such as Composer, Explorer, and Caliper.Key FeaturesPlan, design, and create a full-fledged private decentralized application using Hyperledger services Master the ins and outs of the Hyperledger network using real-world examples Packed with problem-solution-based recipes to tackle pain areas in the blockchain development cycleBook DescriptionHyperledger is an open-source project and creates private blockchain applications for a range of domains. This book will be your desk reference as you explore common and not-so-common challenges faced while building blockchain networks using Hyperledger services.We'll work through all Hyperledger platform modules to understand their services and features and build end-to-end blockchain applications using various frameworks and tools supported by Hyperledger. This book's independent, recipe-based approach (packed with real-world examples) will familiarize you with the blockchain development cycle. From modeling a business network to integrating with various tools, you will cover it all. We'll cover common and not-so-common challenges faced in the blockchain life cycle. Later, we'll delve into how we can interact with the Hyperledger Fabric blockchain, covering all the principles you need to master, such as chaincode, smart contracts, and much more. We'll also address the scalability and security issues currently faced in blockchain development.By the end of this book, you will be able to implement each recipe to plan, design, and create a full-fledged, private, decentralized application to meet organizational needs.What you will learnCreate the most popular permissioned blockchain network with Fabric and ComposerBuild permissioned and permission-less blockchains using SawtoothUtilize built-in Iroha asset/account management with role-based permissionsImplement and run Ethereum smart contracts with Burrow Get to grips with security and scalability in HyperledgerExplore and view blockchain data using Hyperledger ExplorerProduce reports containing performance indicators and benchmarks using CaliperWho this book is forThis book is for blockchain developers who want to understand how they can apply Hyperledger services in their day-to-day projects. This book uses a recipe-based approach to help you use Hyperledger to build powerful, decentralized autonomous applications. We assume the reader has a basic knowledge of the Blockchain technology and cryptography concepts
Hypermedia Learning Environments: Instructional Design and Integration
by Piet A. M. Kommers Scott Grabinger Joanna C. DunlapHypermedia and multimedia have penetrated the world of computer games, Internet, and CD-ROM based reference manuals. However, the fields of education, schooling, and training ask more specific benefits from them. This book provides practical approaches to transform these media into learning tools. Crucial helping steps include the migration from expository to exploratory learning strategies, the integration of collaborative learning practices in plenary and individualistic teaching styles, and the evolution from test-driven to experience-oriented training. This volume has three goals: * to discuss the concepts of hypermedia, multimedia, and hypertext and review pertinent research lines; * to provide guidelines and suggestions for developing multimedia applications; and * to place technology within a broader context of education and training through a discussion of rich environments for active learning (REALs). The book takes a developmental focus to helpf readers set up and manage the process of developing a multimedia application. It is not a technical or a how-to manual on working with video, sound, digitized graphics, or computer code. The text takes a unique approach to the idea of media-- viewing media as delivery systems: if video is called for, use it; if sound will help in an application, use it. The fundamental guidelines presented here are usually not media specific. Media works only within the strategies with which they are used. Aimed at practitioners--people who teach about or develop multimedia and hypermedia applications--this volume carefully examines the main components and issues in developing applications. It provides suggestions and heuristics for sound, fundamental design processes.
Hypermedia and Literary Studies
by Paul Delany George P. LandowThe essays in Hypermedia and Literary Studies discuss the theoretical and practical opportunities and challenges posed by the convergence of hypermedia systems and traditional written texts.
Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem
by Claudio JolowiczKeeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem.With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking.You'll learn how to:Create open source projects with state-of-the-art infrastructureBuild a custom infrastructure for all Python projects in a company or teamImprove and modernize the infrastructure of an existing Python projectEvaluate modern Python tooling for adoption in existing projectsUse tools for packaging and dependency managementAutomate common development tasks such as testing, dependency updates, and publishing releases
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
by Tanay AgrawalDive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods. This is a step-by-step guide to hyperparameter optimization, starting with what hyperparameters are and how they affect different aspects of machine learning models. It then goes through some basic (brute force) algorithms of hyperparameter optimization. Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. Next you’ll discuss Bayesian optimization for hyperparameter search, which learns from its previous history. The book discusses different frameworks, such as Hyperopt and Optuna, which implements sequential model-based global optimization (SMBO) algorithms. During these discussions, you’ll focus on different aspects such as creation of search spaces and distributed optimization of these libraries. Hyperparameter Optimization in Machine Learning creates an understanding of how these algorithms work and how you can use them in real-life data science problems. The final chapter summaries the role of hyperparameter optimization in automated machine learning and ends with a tutorial to create your own AutoML script. Hyperparameter optimization is tedious task, so sit back and let these algorithms do your work. What You Will LearnDiscover how changes in hyperparameters affect the model’s performance.Apply different hyperparameter tuning algorithms to data science problemsWork with Bayesian optimization methods to create efficient machine learning and deep learning modelsDistribute hyperparameter optimization using a cluster of machinesApproach automated machine learning using hyperparameter optimizationWho This Book Is For Professionals and students working with machine learning.
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
by Thomas Bartz-Beielstein Eva Bartz Martin Zaefferer Olaf MersmannThis open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike.