Advanced Controls for Intelligent Buildings
The book focuses on technical and business aspects needed to select, design, develop and deploy control application successfully for multiple components in building systems. It provides guidance on developing an end-to-end system in relation to business fundamentals (distribution channels, marketing, supply-chain and financial management).
Coefficient of Variation and Machine Learning Applications
Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.
Energy Management
This book introduces the principle of carrying out a medium term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering.
Deep Learning in Gaming and Animations
The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.
Background Modeling and Foreground Detection for Video Surveillance
This book provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. It presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. The book also addresses se
Energy Efficient Computing & Electronics
This book investigates new approaches to lower energy requirement in computing and provides comprehensive coverage of various technologies that can help achieve this goal. Chapters are written by international experts in their corresponding field.
Machine Learning Using TensorFlow Cookbook
Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and moreKey Features: Deep Learning solutions from Kaggle Masters and Google Developer ExpertsGet to grips with the fundamentals including variables, matrices, and data sourcesLearn advanced techniques to make your algorithms faster and more accurateBook Description: The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google's machine learning library, TensorFlow.This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You'll discover real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted trees, both for classification and regression.Explore the practical applications of a variety of deep learning architectures, such as recurrent neural networks and Transformers, and see how they can be used to solve computer vision and natural language processing (NLP) problems.With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement machine learning algorithms in real-world scenarios.What You Will Learn: Take TensorFlow into productionImplement and fine-tune Transformer models for various NLP tasksApply reinforcement learning algorithms using the TF-Agents frameworkUnderstand linear regression techniques and use Estimators to train linear modelsExecute neural networks and improve predictions on tabular dataMaster convolutional neural networks and recurrent neural networks through practical recipesWho this book is for: If you are a data scientist or a machine learning engineer, and you want to skip detailed theoretical explanations in favor of building production-ready machine learning models using TensorFlow, this book is for you.Basic familiarity with Python, linear algebra, statistics, and machine learning is necessary to make the most out of this book.
IP Routing Protocols
This book focuses on the fundamental concepts of IP routing and distance-vector routing protocols (RIPv2 and EIGRP). It discusses routing protocols from a practicing engineer's perspective, linking theory and fundamental concepts to common practices and everyday examples.
IP Routing Protocols
This book discusses link-state routing protocols (OSPF and IS-IS), and the path-vector routing protocol (BGP). It covers their most identifying characteristics, operations, and the databases they maintain. Material is presented from a practicing engineer's perspective, linking theory and fundamental concepts to common real-world examples.
Magnetic Core Memory Decoded
Magnetic Core Memory Decoded is a detailed work describing the operation and development of a magnetic core memory system of the type originally implemented in the 1940's through to the 1960's.Core memory was a major stepping stone in the development of modern digital computer systems and is a fascinating technology which encompasses many engineering disciplines.A full explanation of the technology is provided from the basics of magnetic core flux responses through the design and implementation of circuits required to create a fully functional memory system.The system presented in this book is a non-trivial design and while it is relatively small in terms of its storage capacity it is still large enough to give the reader a full account of the technology and the amazing secrets of this technology.This book is a must for anyone interested in the history of computing or is simply interested in the development of engineering technology.
Covid-19 Public Health Measures
This book focuses on the use of Augmented Reality applications for COVID-19 outbreak along with techniques & platforms to achieve social distancing and sanitization. It contains theoretical and practical knowledge of AR and remedies on how to cope with the technology including multiple use cases along with a set of recommendations.
Swarm Intelligence Algorithms
This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms to solve various computational problems. It is useful for students studying nature-based optimization algorithms, and can be a helpful for learning the basics of these algorithms efficiently.
Swarm Intelligence Algorithms
This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.
Software Architecture with C++
Apply business requirements to IT infrastructure and deliver a high-quality product by understanding architectures such as microservices, DevOps, and cloud-native using modern C++ standards and featuresKey Features: - Design scalable large-scale applications with the C++ programming language- Architect software solutions in a cloud-based environment with continuous integration and continuous delivery (CI/CD)- Achieve architectural goals by leveraging design patterns, language features, and useful toolsBook Description: Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability.If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components.Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development.By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.What You Will Learn: - Understand how to apply the principles of software architecture- Apply design patterns and best practices to meet your architectural goals- Write elegant, safe, and performant code using the latest C++ features- Build applications that are easy to maintain and deploy- Explore the different architectural approaches and learn to apply them as per your requirement- Simplify development and operations using application containers- Discover various techniques to solve common problems in software design and developmentWho this book is for: This software architecture C++ programming book is for experienced C++ developers looking to become software architects or develop enterprise-grade applications.Table of Contents- Importance of Software Architecture and Principles of Great Design- Architectural Styles- Functional and Nonfunctional Requirements- Architectural and System Design Patterns- Leveraging C++ Language Features- Design Patterns and C++- Building and Packaging- Testability- Continuous Integration and Continuous Deployment- Security- Performance- Service Oriented Architecture- Microservices- Containers- Cloud Native Design- Appendix
Soft Computing and Its Applications, Volume I
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties of real-life problems. It introduces the reader to the topic of rough sets. This book's companion volume, Volume 2: Fuzzy Reasoning and Fuzzy Control, will move forward from here to discuss several advanced features of soft computing and application methodologies. This new book: - Discusses the present state of art of soft computing-Includes the existing application areas of soft computing- Presents original research contributions- Discusses the future scope of work in soft computingThe book is unique in that it bridges the gap between theory and practice, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and engineers in different fields and industries for the application of soft computing tools in many diverse domains of engineering.
Soft Computing and Its Applications, Volume Two
This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for soft computing. The book contains an abundance of examples and detailed design studies.The tool soft computing can be a landmark paradigm of computation with cognition that directly or indirectly tries to replicate the rationality of human beings. The book explains several advanced features of soft computing, such as cognitive maps, complex valued fuzzy sets and fuzzy logic, quantum fuzzy sets and quantum fuzzy logic, and rough sets and hybrid methods that combine neural net fuzzy logic and genetic algorithms. The book contains several real-life applications to present the utility and potential of soft computing. The book: - Discusses the present state of art of soft computing- Includes the existing application areas of soft computing- Presents original research contributions- Discusses the future scope of work in soft computingThe book is unique in that it bridges the gap between theory and practice, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and engineers in different fields and industries for the application of soft computing tools in many diverse domains of engineering. This book can be used as a textbook and/or reference book by undergraduate and postgraduate students of many different engineering branches, such as electrical engineering, control engineering, electronics and communication engineering, computer sciences, and information sciences.
Image Processing and Pattern Recognition Based on Parallel Shift Technology
Designed to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications, this book describes the methods and algorithms for image pre-processing and recognition, based on a parallel shift technology of the imaging copy.
Verilog Hdl Design Examples
The book presents the Verilog language with a variety of examples to provide a firm foundation in the design of the digital system using Verilog HDL. It places emphasis on the detailed design of various Verilog projects that include the design module, test bench module, and outputs from the simulator illustrating th
Embedded Systems Fundamentals with Arm Cortex-M based Microcontrollers
Give your students an understanding of the most important topics in embedded systems design using a coherent, compelling and hands-on approach. Now in its 2nd edition, this textbook has been updated on a new development board from STMicroelectronics - the Arm Cortex-M0+ based Nucleo-F091RC. Designed to be used in a one- or two-semester introductory course on embedded systems, the textbook covers fundamental topics including the CPU, interrupt systems, peripherals, serial communication and multi-tasking. Software examples in this textbook are written in C and the free version of Arm's Keil MDK-ARM integrated development environment is used throughout the materials.
Cleaning Data for Effective Data Science
A comprehensive guide for data scientists to master effective data cleaning tools and techniquesKey Features: Think about your data intelligently and ask the right questionsMaster data cleaning techniques using hands-on examples belonging to diverse domainsWork with detailed, commented, well-tested code samples in Python and RBook Description: In data science, data analysis, or machine learning, most of the effort needed to achieve your actual purpose lies in cleaning your data. Using Python, R, and command-line tools, you will learn the essential cleaning steps performed in every production data science or data analysis pipeline. This book not only teaches you data preparation but also what questions you should ask of your data.The book dives into the practical application of tools and techniques needed for data ingestion, anomaly detection, value imputation, and feature engineering. It also offers long-form exercises at the end of each chapter to practice the skills acquired.You will begin by looking at data ingestion of a range of data formats. Moving on, you will impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features that are necessary for successful data analysis and visualization goals.By the end of this book, you will have acquired a firm understanding of the data cleaning process necessary to perform real-world data science and machine learning tasks.What You Will Learn: Ingest and work with common tabular, hierarchical, and other data formatsApply useful rules and heuristics for assessing data quality and detecting biasIdentify and handle unreliable data and outliers in their many formsImpute sensible values into missing data and use sampling to fix imbalancesGenerate synthetic features that help to draw out patterns in your dataPrepare data competently and correctly for analytic and machine learning tasksWho this book is for: This book is designed to benefit software developers, data scientists, aspiring data scientists, and students who are interested in data analysis or scientific computing. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful. The text will also be helpful to intermediate and advanced data scientists who want to improve their rigor in data hygiene and wish for a refresher on data preparation issues.
Vanet
This book addresses elements of VANET alongwith communication components, functionality and configuration, including issues like security, speed of message forwarding, priority-based forwarding, and malicious node detections and preventions supported by examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols.
Electric Circuits Problem Solver
This book contains a large number of selected problems in electric circuits (514 problems n 980 pages).. Emphasis is given to understanding not only the theorems, but also the basic techniques applied in the analysis of electric circuits. Thus, each problem is analytically solved by choosing the most appropriate technique. When students successfully complete the study of this book, they will have a good working knowledge of basic circuit principles and a demonstrated ability to solve a variety of circuit-related problems.I hope this book will be of help for students and will become a useful tool for their study.
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
The book contains theory and applications of soft computing in engineering, health, social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering.
Introduction to High-Dimensional Statistics
This book preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities.
Hybrid Image Processing Methods for Medical Image Examination
This book focuses on implementation of a possible Hybrid Image Examination technique for medical images describing various image thresholding and segmentation methods along with essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, supported by pertinent case studies.
Real-Time Digital Signal Processing from MATLAB to C with the Tms320c6x Dsps
The software in this new edition supports the latest high-performance hardware, including the powerful, inexpensive, and versatile OMAP-L138 Low Cost Development Kit from Texas Instruments. This book utilizes a highly practical, step-by-step framework that provides hands-on experience in real-time DSP, rather than relying on theory alone. The ch
Handbook of Mixture Analysis
This handbook is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, geno
Distributed System Design
Future requirements for computing speed, system reliability, and cost-effectiveness entail the development of alternative computers to replace the traditional von Neumann organization. As computing networks come into being, one of the latest dreams is now possible - distributed computing. Distributed computing brings transparent access to as much computer power and data as the user needs for accomplishing any given task - simultaneously achieving high performance and reliability.The subject of distributed computing is diverse, and many researchers are investigating various issues concerning the structure of hardware and the design of distributed software. Distributed System Design defines a distributed system as one that looks to its users like an ordinary system, but runs on a set of autonomous processing elements (PEs) where each PE has a separate physical memory space and the message transmission delay is not negligible. With close cooperation among these PEs, the system supports an arbitrary number of processes and dynamic extensions.Distributed System Design outlines the main motivations for building a distributed system, including: inherently distributed applications performance/cost resource sharing flexibility and extendibility availability and fault tolerance scalabilityPresenting basic concepts, problems, and possible solutions, this reference serves graduate students in distributed system design as well as computer professionals analyzing and designing distributed/open/parallel systems.Chapters discuss: the scope of distributed computing systems general distributed programming languages and a CSP-like distributed control description language (DCDL) expressing parallelism, interprocess communication and synchronization, and fault-tolerant design two approaches describing a distributed system: the time-space view and the interleaving view mutual exclusion and related issues, including election, bidding, and self-stabilization prevention and detection of deadlock reliability, safety, and security as well as various methods of handling node, communication, Byzantine, and software faults efficient interprocessor communication mechanisms as well as these mechanisms without specific constraints, such as adaptiveness, deadlock-freedom, and fault-tolerance virtual channels and virtual networks load distribution problems synchronization of access to shared data while supporting a high degree of concurrency
Low Power Semiconductor Devices and Processes for Emerging Applications in Communications, Computing, and Sensing
Making processing information more energy-efficient saves money, reduces energy use, and permits batteries that provide power in mobile devices to run longer or be smaller. The book addresses the need to investigate new approaches to lower energy requirement in computing, communication, and sensing.
Security and Privacy in the Internet of Things
This book provides a comprehensive study of the security and privacy research advancements in Internet of Things (IoT). The book lays the context for discussion by introducing the vulnerable intrinsic features of IoT. By providing a comprehensive discussion of the vulnerable features, the book highlights the problem areas of IoT related to security and privacy.- Covers all aspects of security- Algorithms, protocols and technologies used in IoT have been explained and the security flaws in them analyzed with solutions - Discusses ways for achieving better access control and trust in the IoT ecosystem- Contributes exhaustive strategic plans to deal with security issues of IoT- Gathers contributions from leading-edge researchers from academia and industryGraduates, researchers, people from the industry and security professionals who want to explore the IoT security field will find this book useful. The book will give an in-depth insight in to what has happened, what new is happening and what opportunities exist in the field.
5g Radio Access Network Architecture
Written by an industry insider with state of the art research at their fingertips, this book describes the Radio Access Network (RAN) architecture, starting with currently deployed 4G, followed by the description of 5G requirements and why re-thinking of the RAN architecture is needed to support these. Based on these considerations, it explains how 5G network architecture, which is currently being defined, is likely to evolve. The aim is not merely to cover relevant standards and technologies as a purely academic exercise (although a significant part of the book will be dedicated to these), but to augment these by practical deployment, to illustrate why the RAN architecture is changing and where it is going. With 5G deployments on the horizon, there is a desire within companies to both re-think the RAN architecture and to change the proprietary nature of the RAN. Correspondingly, there is increased interest in academia, standards bodies and commercial entities involved in the area.
Intelligent Virtual System for Underwater Vehicle Piloting Using Unity
This book supports the readers in the development of remotely operated vehicle (ROV) pilot training simulator by exploiting open source or free gaming software and the importance of using established and widely available games design techniques in providing engaging scenarios for the ROV training developers and trainees.
Green Computing and Predictive Analytics for Healthcare
The emergent trends in Green Cloud Computing lead to new developments in various application domains, mainly in healthcare. The aim of this book is to collect innovative and high-quality research contributions related to the advances in the energy-aware cloud-enabled healthcare domain.
Wireless Sensor Networks
With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks.
Cloud Computing Security
This handbook offers a comprehensive overview of cloud computing security technology and implementation while exploring practical solutions to a wide range of cloud computing security issues. As more organizations use cloud computing and cloud providers for data operations, the need for proper security in these and other potentially vulnerable areas has become a global priority for organizations of all sizes. Research efforts from academia and industry, as conducted and reported by experts in all aspects of security related to cloud computing, are gathered within one reference guide.Features Covers patching and configuration vulnerabilities of a cloud server Evaluates methods for data encryption and long-term storage in a cloud server Demonstrates how to verify identity using a certificate chain and how to detect inappropriate changes to data or system configurations
Distributed Systems
This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language of the Second Edition is kept as unobscured as possible-clarity is given priority over mathematical formalism. Containing significant updates that mirror
python
✓ Are you looking for a beginner's guide? ✓ Do you want to learn how to use python for beginners in a simple way? ✓ Do you want to enter into the new world of Python for beginners in an efficient and effective way? ★★★This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Data AnalysisWeb Applications2D Game DevelopmentCreating Software DistributionCreating a 2d gameBasic data analysisSet up djangoUsing panda frameworkMouse automationKeyboard automationError types Big Data and why it is the path for the future in data scienceBasics of Python for Data AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEImportance of MetadataMachine Learning AlgorithmsBasics of PythonGetting Started with Machine learningWhat is machine learningInstalling machine libraries in your systemSupervised Machine Learning for Discrete Class LabelMachine learning methods ★★★★★This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!★★★★★Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm. ⚠⚠⚠⚠⚠ Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it !!!!⚠⚠⚠⚠⚠
python programming crash course
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Data AnalysisWeb ApplicationsGUI Creation2D Game DevelopmentCreating Software DistributionCreating a 2d gameBasic data analysisSet up djangoTaking control of keyboard and mouseExcelWebsitesWorking with numpyMathematical conceptsShifting gearsGui for file and computer peripheral controlGame designBuilding the gameCSVUsing panda frameworkAnacondaCanopyWinPythonMouse automationKeyboard automationError typesJupyterData Munging with PandasThe ProcessImporting DatasetsData PreprocessingSupervised Learning Algorithms This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal! Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python machine learning
Are you looking for beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way?This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Machine Learning AlgorithmsBasics of PythonGetting Started with Machine learningWhat is machine learningInstalling machine libraries in your systemSupervised Machine Learning for Discrete Class LabelMachine learning methodsK-Nearest NeighborsDecision TreeSupport Vector MachineNaive Bayes ClassificationLogistic RegressionNeural NetworkSupervised Machine Learning for Continuous Class LabelRegression ModelsUnsupervised Machine LearningUnderstanding and challengesDimension ReductionClustering ModelsWorking with Text DataRepresenting Text Data as bags of wordsStopwordsMachine Learning Real World ApplicationsThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python data analytics
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Basics of Python for Data AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEAtomEclipseVariables and Data TypesDecision Making and Basic OperatorsObject Oriented ProgrammingRegular ExpressionsData HandlingLoad date from different server such as CSV, URL or SQLPython AggregationBuilding Machine Learning ModelsData ScienceData PipelinesData SegregationImportance of MetadataMachine Learning AlgorithmsScikit LearnEffective Data VisualizationEvaluating Accuracy of the ModelAdvantages of Na簿ve BayesK-Means ClusteringExpectation-Minimization AlgorithmMean Shift AlgorithmArtificial Neural NetworksDeep Neural NetworksArchitecture of ANN'sData Science in Real WorldVirtual AssistantsRisk and Fraud DetectionData Analytics in DetailTypes and Categories of Data AnalyticsSteps in Data MiningData Science Lifecycle and Model BuildingImproving Data Science ModelsDetermine ProblemsSearch for More DataDeep Learning and BusinessModel InterpretabilityAutonomous VehiclesFinding Useful DataBig DataThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.
python for data science
Are you looking for a beginners guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications.In This book you will learn: Python setupAnacondaWinpythonData science packegesJupyterData munging with pandasThe processImporting datasetsData preprocessingThe data science pipelinePrincipal component analysisSupervised learning algorithmsAnalyzing big dataNeural networks structuresClassification and regression treesThe overfitting problemNew featuresNa簿ve bayes classifierLinear regressionLogistic regressionSupport vector machineApplications in the real worldPruningData selection This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.
python for beginners
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a simple way?Do you want to enter into the new world of Python data science as a beginner in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: ● Data Analysis● Web Applications● GUI Creation● 2D Game Development● Creating Software Distribution● Creating a 2d game● Basic data analysis● Set up django● Taking control of keyboard and mouse● Excel● Websites● Working with numpy● Mathematical concepts● Shifting gears● Gui for file and computer peripheral control● Game design● Building the game● CSV● Using panda framework● Mouse automation● Keyboard automation● Error typesThis book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal! Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.Even if you don't have any skills this book help you step by step to achieve your goal.in a few days you will be able to learn it.
Virtual Humans
Virtual Humans provides a much-needed definition of what constitutes a 'virtual human' and places virtual humans within the wider context of Artificial Intelligence development. It explores the technical approaches to creating a virtual human, as well as emergent issues such as embodiment, identity, agency and digital immortality, and the resulting ethical challenges. The book presents an overview of current research and practice in this area, and outlines the major challenges faced by today's developers and researchers. The book examines the possibility for using virtual humans in a variety of roles, from personal assistants to teaching, coaching and knowledge management, and the book situates these discussions around familiar applications (e.g. Siri, Cortana, Alexa) and the portrayal of virtual humans within Science Fiction.Features Presents a comprehensive overview of this rapidly developing field Provides an array of relevant, real-life examples from expert practitioners and researchers from around the globe in how to create the avatar body, mind, senses and ability to communicate Intends to be broad in scope yet practical in approach, so that it can serve the needs of several different audiences, including researchers, teachers, developers and anyone with an interest in where these technologies might take us Covers a wide variety of issues which have been neglected in other research texts; for example, definitions and taxonomies, the ethical challenges of virtual humans and issues around digital immortality Includes numerous examples and extensive references
X-Machines for Agent-Based Modeling
From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model 'Communicating X-machines' which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples."--Professor Mike Holcombe, University of Sheffield, UKAgent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues.This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results.Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models.The Open Access version of this book, available at https: //doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
ACSL Contests 2019-2020
This book presents the 2019-2020 contests organized by the American Computer Science League. ACSL offers 5 divisions to appeal to the variety of abilities of middle school and high school students. Contests consist of two parts: short problems that cover fundamental concepts in computer science and a programming problem, where students solve a specific problem by writing a computer program in a language of their choice. The fundamental computer science topics covered in the short problem tests include Assembly Language Programming, Bit-String Flicking, Boolean Algebra, Computer Number Systems, Data Structures, Digital Electronics, FSAs and Regular Expressions, Graph Theory, LISP, Prefix/Infix/Postfix Notation, Recursive Functions, and What Does This Program Do? There were four regular season contests, held at each participating school. At the end of the season, the top students were invited to participate in an online all-star competition. This book is organized contest by contest. In each contest, the problems and solutions are organized by division.
