“…Additional chapters are dedicated to epigenetic modification and evolution of plant centromeres, and development and application of plant artificial chromosomes. Written by an international group…”

Tabla de Contenidos: “…Alternating least squares with Apache Spark MLlib -- References -- Summary -- Chapter 12: Introduction to Natural Language Processing -- NLTK and built-in corpora -- Corpora examples -- The bag-of-words strategy -- Tokenizing -- Sentence tokenizing -- Word tokenizing -- Stopword removal -- Language detection -- Stemming -- Vectorizing -- Count vectorizing -- N-grams -- Tf-idf vectorizing -- A sample text classifier based on the Reuters corpus -- References -- Summary -- Chapter 13: Topic Modeling and Sentiment Analysis in NLP -- Topic modeling -- Latent semantic analysis -- Probabilistic latent semantic analysis -- Latent Dirichlet Allocation -- Sentiment analysis -- VADER sentiment analysis with NLTK -- References -- Summary -- Chapter 14: A Brief Introduction to Deep Learning and TensorFlow -- Deep learning at a glance -- Artificial neural networks -- Deep architectures -- Fully connected layers -- Convolutional layers -- Dropout layers -- Recurrent neural networks -- A brief introduction to TensorFlow -- Computing gradients -- Logistic regression -- Classification with a multi-layer perceptron -- Image convolution -- A quick glimpse inside Keras -- References -- Summary -- Chapter 15: Creating a Machine Learning Architecture -- Machine learning architectures -- Data collection -- Normalization -- Dimensionality reduction -- Data augmentation -- Data conversion -- Modeling/Grid search/Cross-validation -- Visualization -- scikit-learn tools for machine learning architectures -- Pipelines -- Feature unions -- References -- Summary -- Index…”

“…The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. …”

“…Gradually, you’ll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. …”

Tabla de Contenidos: “…Implementation in TensorFlow -- Deep belief networks -- Summary -- Chapter 5: Image Recognition -- Similarities between artificial and biological models -- Intuition and justification -- Convolutional layers -- Stride and padding in convolutional layers -- Pooling layers -- Dropout -- Convolutional layers in deep learning -- Convolutional layers in Theano -- A convolutional layer example with Keras to recognize digits -- A convolutional layer example with Keras for cifar10 -- Pre-training -- Summary -- Chapter 6: Recurrent Neural Networks and Language Models -- Recurrent neural networks -- RNN - how to implement and train -- Backpropagation through time -- Vanishing and exploding gradients -- Long short term memory -- Language modeling -- Word-based models -- N-grams -- Neural language models -- Character-based model -- Preprocessing and reading data -- LSTM network -- Training -- Sampling -- Example training -- Speech recognition -- Speech recognition pipeline -- Speech as input data -- Preprocessing -- Acoustic model -- Deep belief networks -- Recurrent neural networks -- CTC -- Attention-based models -- Decoding -- End-to-end models -- Summary -- Bibliography -- Chapter 7: Deep Learning for Board Games -- Early game playing AI -- Using the min-max algorithm to value game states -- Implementing a Python Tic-Tac-Toe game -- Learning a value function -- Training AI to master Go -- Upper confidence bounds applied to trees -- Deep learning in Monte Carlo Tree Search -- Quick recap on reinforcement learning -- Policy gradients for learning policy functions -- Policy gradients in AlphaGo -- Summary -- Chapter 8: Deep Learning for Computer Games -- A supervised learning approach to games -- Applying genetic algorithms to playing games -- Q-Learning -- Q-function -- Q-learning in action -- Dynamic games -- Experience replay -- Epsilon greedy…”

“…This book covers all the software's crucial features, including how to simulate and analyze sun, sky, and artificial light-crucial factors for sustainable design-and how to define and assign realistic materials and work with AutoCAD and Revit files. …”

“…From laying the foundations of transformation: developing a considered strategy, growing a conducive culture and building a receptive organisational design; to building core digital capabilities: taking advantage of data, harnessing artificial intelligence and embracing appropriate platforms; to adapting the accelerators of change: navigating board expectations, mitigating potential roadblocks and making the right investments, this playbook will give you the tools and mindsets needed to not only survive but to thrive and leave a legacy for future leaders. …”

“…This book analyzes some key sectors of the economy that are knowledge-intensive and rapidly changing: transport and communications, defense, information technology, artificial intelligence, and the environment…”

“…Learn everything you need to know to use the powerful Unity engine to its full potential for 3D and 2D game development, simulation, artificial intelligence, and beyond. From the basics of scripting to techniques for interactivity, AI and behavior, animation, narrative, and networking, this flexible, mind-bogglingly popular engine is useful for anything that needs visuals and real-time simulation. …”

“…Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python Key Features Grasp the principles of data centricity and apply them to real-world scenarios Gain experience with quality data collection, labeling, and synthetic data creation using Python Develop essential skills for building reliable, responsible, and ethical machine learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book Description In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. …”

Tabla de Contenidos: “…Cover Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Tracking the Exponential -- A World Rebooting -- Introduction -- Where the World Is Now -- 2030: A New Future -- 1998: So Last Century -- Humans 2.0 -- Devices -- People Going Binary-Computers Going Quantum -- Part I Important Technologies You Cannot Ignore -- Chapter 1 Foundational Technologies -- Artificial Intelligence -- GPT -- Benefits of GPT -- Risks of GPT -- AI Foundation Models -- Other Key Players -- Quantum Computing -- Quantum Theory -- Quantum Computing -- Sources of Data -- Advanced Communications -- Wired -- Wireless -- Cellular -- Moving into the Future -- Satellite -- Key Takeaways -- Chapter 2 Enabling Technology -- Blockchain -- Blockchain Mechanisms -- Proof of Work -- Proof of Stake -- Proof of Assignment -- Mining -- Forking and 51 Percent Attacks -- The Future of the Blockchain -- Smart Contracts -- Decentralized Autonomous Organizations -- Tokenization -- Types of Tokens -- Functional Types and Uses of Tokens -- The Benefits of Tokenization -- Bitcoin and Cryptocurrency -- Structure -- Systemic Constraints -- User Constraints -- Other Cryptocurrencies -- The Future of the Cryptocurrency Industry -- Key Takeaways -- Chapter 3 Consumer-Facing Hardware Technologies -- Robotics -- Industrial Automation -- Additive Manufacturing (3D and 4D Printing) -- Internet of Things -- Virtual Reality and Augmented Reality -- Virtual Reality -- Augmented Reality -- Key Takeaways -- Chapter 4 Important Uses of Technologies You Cannot Ignore -- The Metaverse -- Energy -- Sourcing -- Solar -- Wind -- Geothermal -- Hydrogen Fuel Cells -- Nuclear Fission and Fusion -- Energy Storage -- Energy Transmission and Distribution -- Use of Frontier Technologies in the Up-Front Design and Planning of the Grid -- Use -- The Bioeconomy and Biodigital Convergence…”

Tabla de Contenidos: “…-- Summary -- Chapter 5: Artificial Intelligence (AI) and Zero Trust -- What is AI? …”

“…Confiamos en una voz artificial que nos guía paso a paso hasta nuestro destino. …”

“…Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. …”

Tabla de Contenidos: “….; 0 INTRODUCCIÓN; 1 CLASIFICACIÓN; 2 LAS PRIMERAS CONSTRUCCIONES: CONSTRUCCIONES NEGATIVAS; 2.1 Cueva o Caverna; 2.2 Tipos de cuevas; 2.2.1 Cueva Natural; 2.2.2 Cueva natural modificada; 2.2.3 Cueva artificial; 3 CONSTRUCCIÓN POSITIVA; 3.1 Cañas; 3.2 Madera; 3.3 Tierra; 3.4 Piedra; 4 CONSTRUCCIONES MEGALÍTICAS; 4.1 Menhir; 4.2 Alineamientos; 4.3 Crómlech; 4.4 Taula; 4.5 Dolmen; 4.5.1 Dolmen de Menga…”

Tabla de Contenidos: “…TEORIZAR LA PRÁCTICA Y EXPERIMENTA LA TEORÍA -- IV. INTELIGENCIA ARTIFICIAL. PARAÍSO O AMENAZA -- 4.1. POSIBILIDADES Y RIESGOS EN EL ÁMBITO ECONÓMICO Y LABORAL -- 4.2. …”

Tabla de Contenidos: “…Fuentes de datos sanitarios e inteligencia artificial -- 12. Seguridad y ética en el uso responsable de las redes sociales -- 1. …”

Tabla de Contenidos: “…Azure Container Instances -- Creating an Azure Container Instance -- Azure Kubernetes Service -- Windows Virtual Desktop -- An Introduction to Storage Resources -- Azure Container Storage -- Azure Disk Storage -- Azure File Storage -- Storage Tiers -- An Introduction to Database Resources -- Azure SQL Database -- Relational Database Design in Azure SQL Server -- Azure SQL Database Managed Instances -- Azure Database for MySQL -- Azure Database for PostgreSQL -- Azure Cosmos DB -- An Introduction to Networking Resources -- Azure Virtual Network -- VPN Gateways -- Virtual Network Peering -- Configuring a Virtual Peering Network -- Azure ExpressRoute -- ExpressRoute Direct -- Azure Marketplace -- Chapter Review -- Questions -- Answers -- Chapter 4 Management Tools and Solutions -- Azure Management Tools -- Azure Portal -- Azure PowerShell -- Azure CLI -- Azure Cloud Shell -- Azure Mobile App -- Azure Advisor -- Azure Resource Manager Templates -- Azure Monitor -- Azure Service Health -- Azure IoT Solutions Overview -- Azure IoT Hub -- Azure IoT Central -- Azure Sphere -- Data Analytics Solutions -- Azure Synapse Analytics -- HDInsight -- Azure Databricks -- Artificial Intelligence and Machine Learning Solutions -- Azure Machine Learning -- Cognitive Services -- Azure Bot Service -- Serverless Computing -- Azure Functions -- Logic Apps -- Azure Functions or Azure Logic Apps -- DevOps Solutions -- Azure DevOps -- GitHub -- GitHub Actions -- Azure DevTest Labs -- Chapter Review -- Questions -- Answers -- Chapter 5 General Security and Network Security -- Core Security Features -- Azure Security Center -- Secure Score -- Recommendations -- Regulatory Compliance -- Azure Defender -- Security Alerts -- Resource Hygiene and Inventory -- Azure Key Vault -- Azure Sentinel -- Azure Dedicated Hosts -- Azure Defense Strategies in Depth…”

Tabla de Contenidos: “…3.11 Mining Methods and the Selection of Offshore Oil and Gas Fields -- 3.12 Offshore Production Technology and Equipment of Flowing Wells -- 3.13 Tools and Equipment of Marine Mechanical Production -- 3.14 Offshore Gas Production Technology And Equipment -- 3.15 New Technology and New Techniques for China's Offshore Oil Production -- PART IV OFFSHORE WORKOVER OPERATIONS AND EQUIPMENT -- 3.16 Content and Features of Offshore Workover Operations -- 3.17 Offshore Workover Methods and Selection -- 3.18 Offshore Workover Rigs -- PART V COILED TUBING TECHNOLOGY AND EQUIPMENT -- 3.19 Overwater Equipment of Coiled Tubing Technology -- 3.20 The Coiled Tubing -- 3.21 Main Downhole Tools Used in Coiled Tubing Operations -- 3.22 Application of Coiled Tubing Technology in Workover Operations -- PART VI THE FLOATING MULTIFUNCTIONAL PLATFORM FOR LNG PRODUCTION FOR DEVELOPMENT OF OFFSHORE GAS FIELDS -- 3.23 Composition of the Multifunctional Floating Platform for LNG Production -- 3.24 Key Technologies of the Offshore Floating Multifunctional Platform for Liquefied Natural Gas (LNG) Production -- 3.25 The Main Applications of an Offshore Floating Multifunctional Platform for LNG Production -- Chapter 4 - Special Problems of Deep-Sea Oil and Gas Engineering -- 4.1 Summary -- 4.2 Equipment Combination Programs for Acquisition, Processing, Storage, and Transportation of Deep-Sea Oil and Gas -- 4.3 Deep-Water Offshore Floating Structures -- 4.4 Special Problems in the Deep-Water Drilling Process -- Chapter 5 - Special Problems in Sea Petroleum Engineering for Beaches and Shallow Sea Areas -- 5.1 Overview -- 5.2 Seawalls and Artificial Islands -- 5.3 Drilling Equipment and Its Movement in Beach/Shallow Seas -- 5.4 Special Vehicles in Beach/Shallow Seas -- 5.5 Problems in Beach Oil Field Development and Production…”

Tabla de Contenidos: “…Why is human language such a challenge for computers? Is artificial intelligence possible? Chapter 7 Persuasion by the Numbers: How Telenor, U.S. …”