Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Fundamentals of Active Machine Learning -- Chapter 1: Introducing Active Machine Learning -- Understanding active machine learning systems -- Definition -- Potential range of applications -- Key components of active machine learning systems -- Exploring query strategies scenarios -- Membership query synthesis -- Stream-based selective sampling -- Pool-based sampling -- Comparing active and passive learning -- Summary -- Chapter 2: Designing Query Strategy Frameworks -- Technical requirements -- Exploring uncertainty sampling methods -- Understanding query-by-committee approaches -- Maximum disagreement -- Vote entropy -- Average KL divergence -- Labeling with EMC sampling -- Sampling with EER -- Understanding density-weighted sampling methods -- Summary -- Chapter 3: Managing the Human in the Loop -- Technical requirements -- Designing interactive learning systems and workflows -- Exploring human-in-the-loop labeling tools -- Common labeling platforms -- Handling model-label disagreements -- Programmatically identifying mismatches -- Manual review of conflicts -- Effectively managing human-in-the-loop systems -- Ensuring annotation quality and dataset balance -- Assess annotator skills -- Use multiple annotators -- Balanced sampling -- Summary -- Part 2: Active Machine Learning in Practice -- Chapter 4: Applying Active Learning to Computer Vision -- Technical requirements -- Implementing active ML for an image classification project -- Building a CNN for the CIFAR dataset -- Applying uncertainty sampling to improve classification performance -- Applying active ML to an object detection project -- Preparing and training our model -- Analyzing the evaluation metrics -- Implementing an active ML strategy…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Setup and Introduction to TensorFlow -- The TensorFlow way of thinking -- Setting up and installing TensorFlow -- Conda environments -- Checking whether your installation works -- TensorFlow API levels -- Eager execution -- Building your first TensorFlow model -- One-hot vectors -- Splitting into training and test sets -- Creating TensorFlow graphs -- Variables -- Operations -- Feeding data with placeholders -- Initializing variables -- Training our model -- Loss functions -- Optimization -- Evaluating a trained model -- The session -- Summary -- Chapter 2: Deep Learning and Convolutional Neural Networks -- AI and ML -- Types of ML -- Old versus new ML -- Artificial neural networks -- Activation functions -- The XOR problem -- Training neural networks -- Backpropagation and the chain rule -- Batches -- Loss functions -- The optimizer and its hyperparameters -- Underfitting versus overfitting -- Feature scaling -- Fully connected layers -- A TensorFlow example for the XOR problem -- Convolutional neural networks -- Convolution -- Input padding -- Calculating the number of parameters (weights) -- Calculating the number of operations -- Converting convolution layers into fully connected layers -- The pooling layer -- 1x1 Convolution -- Calculating the receptive field -- Building a CNN model in TensorFlow -- TensorBoard -- Other types of convolutions -- Summary -- Chapter 3: Image Classification in TensorFlow -- CNN model architecture -- Cross-entropy loss (log loss) -- Multi-class cross entropy loss -- The train/test dataset split -- Datasets -- ImageNet -- CIFAR -- Loading CIFAR -- Image classification with TensorFlow -- Building the CNN graph -- Learning rate scheduling -- Introduction to the tf.data API…”

Tabla de Contenidos: “…-- Managing Fabric capacities -- Managing Spark job configurations -- Starter pools -- Custom Spark pools -- Spark runtime -- High concurrency -- Automatically tracking machine learning experiments and models -- Spark properties/configuration -- Library management -- Auto-tune -- Spark utility (MSSparkUtils) -- Summary -- Part 4: Security and Developer Experience -- Chapter 9: Security and Governance Overview -- Securing the Microsoft Fabric platform -- Guest users -- Conditional access -- Securing Microsoft Fabric workspaces and items -- Workspace-level permissions -- Item-level permissions -- Understanding governance and compliance in Microsoft Fabric -- Domains -- Microsoft Purview -- Summary -- Chapter 10: Continuous Integration and Continuous Deployment (CI/CD) -- Technical requirements -- Understanding the end-to-end flow -- Connecting to a Git repo with Azure DevOps -- Working on a new feature or release -- Creating and executing a deployment pipeline -- Managing database code for a Fabric data warehouse -- Managing database code with the SQL Database Projects extension -- Summary -- Part 5: AI Assistance with Copilot Integration -- Chapter 11: Overview of AI Assistance and Copilot Integration -- Technical requirements -- What is Copilot in Fabric? …”

Tabla de Contenidos: “…Adding a parameter to a decorator -- Implementing more complex decorators -- Complex design considerations -- Summary -- Chapter 12: The Multiprocessing and Threading Modules -- Functional programming and concurrency -- What concurrency really means -- The boundary conditions -- Sharing resources with process or threads -- Where benefits will accrue -- Using multiprocessing pools and tasks -- Processing many large files -- Parsing log files - gathering the rows -- Parsing log lines into namedtuples -- Parsing additional fields of an Access object -- Filtering the access details -- Analyzing the access details -- The complete analysis process -- Using a multiprocessing pool for concurrent processing -- Using apply() to make a single request -- Using the map_async(), starmap_async(), and apply_async() functions -- More complex multiprocessing architectures -- Using the concurrent.futures module -- Using concurrent.futures thread pools -- Using the threading and queue modules -- Designing concurrent processing -- Summary -- Chapter 13: Conditional Expressions and the Operator Module -- Evaluating conditional expressions -- Exploiting non-strict dictionary rules -- Filtering true conditional expressions -- Finding a matching pattern -- Using the operator module instead of lambdas -- Getting named attributes when using higher-order functions -- Starmapping with operators -- Reducing with operator module functions -- Summary -- Chapter 14: The PyMonad Library -- Downloading and installing -- Functional composition and currying -- Using curried higher-order functions -- Currying the hard way -- Functional composition and the PyMonad * operator -- Functors and applicative functors -- Using the lazy List() functor -- Monad bind() function and the &gt -- &gt -- operator -- Implementing simulation with monads -- Additional PyMonad features -- Summary…”

Tabla de Contenidos: “…Encrypt then sign -- Elliptic Curve Digital Signature Algorithm -- How to generate a digital signature using OpenSSL -- ECDSA using OpenSSL -- Homomorphic encryption -- Signcryption -- Zero-Knowledge Proofs -- Blind signatures -- Encoding schemes -- Financial markets and trading -- Trading -- Exchanges -- Orders and order properties -- Order management and routing systems -- Components of a trade -- The underlying instrument -- General attributes -- Economics -- Sales -- Counterparty -- Trade life cycle -- Order anticipators -- Market manipulation -- Summary -- Chapter 5: Introducing Bitcoin -- Bitcoin -- Bitcoin definition -- Bitcoin - a bird's-eye view -- Sending a payment to someone -- Digital keys and addresses -- Private keys in Bitcoin -- Public keys in Bitcoin -- Addresses in Bitcoin -- Base58Check encoding -- Vanity addresses -- Multisignature addresses -- Transactions -- The transaction life cycle -- Transaction fee -- Transaction pools -- The transaction data structure -- Metadata -- Inputs -- Outputs -- Verification -- The script language -- Commonly used opcodes -- Types of transactions -- Coinbase transactions -- Contracts -- Transaction veri cation -- Transaction malleability -- Blockchain -- The structure of a block -- The structure of a block header -- The genesis block -- Mining -- Tasks of the miners -- Mining rewards -- Proof of Work (PoW) -- The mining algorithm -- The hash rate -- Mining systems -- CPU -- GPU -- FPGA -- ASICs -- Mining pools -- Summary -- Chapter 6: Bitcoin Network and Payments -- The Bitcoin network -- Wallets -- Non-deterministic wallets -- Deterministic wallets -- Hierarchical Deterministic wallets -- Brain wallets -- Paper wallets -- Hardware wallets -- Online wallets -- Mobile wallets -- Bitcoin payments -- Innovation in Bitcoin -- Bitcoin Improvement Proposals (BIPs) -- Advanced protocols…”

Tabla de Contenidos: “…The concurrency toolkit - java.util.concurrent -- Threads and executors -- Synchronization and coordination -- Concurrent collections and atomic variables -- Hands-on exercise - implementing a concurrent application using java.util.concurrent tools -- Synchronization and locking mechanisms -- The power of synchronization - protecting critical sections for thread-safe operations -- Beyond the gatekeeper - exploring advanced locking techniques -- Understanding and preventing deadlocks in multi-threaded applications -- Hands-on activity - deadlock detection and resolution -- Employing Future and Callable for result-bearing task execution -- Safe data sharing between concurrent tasks -- Immutable data -- Thread local storage -- Leveraging thread-safe collections to mitigate concurrency issues -- Choosing between concurrent collections and atomic variables -- Concurrent best practices for robust applications -- Summary -- Questions -- Chapter 3: Mastering Parallelism in Java -- Technical requirements -- Unleashing the parallel powerhouse - the Fork/Join framework -- Demystifying Fork/Join - a culinary adventure in parallel programming -- Beyond recursion - conquering complexities with dependencies -- ForkJoinPool.invokeAll() - the maestro of intertwined tasks -- Managing dependencies in the kitchen symphony - a recipe for efficiency -- Fine-tuning the symphony of parallelism - a journey in performance optimization -- The art of granularity control -- Tuning parallelism levels -- Best practices for a smooth performance -- Streamlining parallelism in Java with parallel streams -- Choosing your weapon - a parallel processing showdown in Java -- Unlocking the power of big data with a custom Spliterator -- Benefits and pitfalls of parallelism -- Challenges and solutions in parallel processing…”

Tabla de Contenidos: “…5.4 Asynchronous beans: ItsoSimpleAsyncBeans.ear -- 5.4.1 Generating the code to deploy -- 5.4.2 Designing the application -- 5.4.3 z/OS-specific implementation -- 5.4.4 Deploying ItsoSimpleAsyncBeans.ear -- 5.4.5 Verifying ItsoSimpleAsyncBeans.ear -- 5.5 Common Event Infrastructure (CEI) -- 5.6 Extended Messaging Service -- 5.6.1 Application overview -- 5.6.2 Generating the code to deploy -- 5.6.3 z/OS-specific implementation -- 5.6.4 Deploying the Extended Messaging Service -- 5.6.5 Verifying ItsoEMS.ear -- 5.7 Object pools -- 5.7.1 Generating the code to deploy -- 5.7.2 z/OS-specific implementation -- 5.7.3 Deploying ObjectPool.ear -- 5.7.4 Verifying ObjectPool.ear -- 5.8 Internationalization (i18n) service -- 5.8.1 Generating the code to deploy -- 5.8.2 z/OS and pre-deployment activities -- 5.8.3 Deploying i18nEAR.ear -- 5.8.4 Verifying i18nEAR.ear -- 5.9 Startup beans -- 5.9.1 Generating the code to deploy -- 5.9.2 z/OS and pre-deployment activities -- 5.9.3 Deploying StartupEAR.ear -- 5.9.4 Verifying StartupEAR.ear -- 5.10 Scheduler service -- 5.10.1 Generating the code to deploy -- 5.10.2 z/OS and pre-deployment activities -- 5.10.3 Deploying StartupSchedulerEAR.ear and SchedulerEAR.ear -- 5.10.4 Verifying StartupSchedulerEAR.ear and SchedulerEAR.ear -- 5.11 Business Rule Beans (BRB) -- 5.11.1 Generating the code to deploy -- 5.11.2 z/OS and pre-deployment activities -- 5.11.3 Deploying WPC_Simple_Process_for_BRB _CompletedEAR.ear -- 5.11.4 Verifying WPC_Simple_Process_for_BRB _CompletedEAR.ear -- Appendix A. …”

Tabla de Contenidos: “…6.2.4 Overview of the Model Catalogue -- 6.2.4.1 Model catalogue in the demonstrator system -- 6.2.5 Seshat Trial Platform Evaluation -- 6.2.5.1 Measuring overall value -- 6.2.5.2 Data quality dimensions and thresholds -- 6.3 Managing Data for the NHS -- 6.3.1 Introduction -- 6.3.2 Use Case -- 6.3.2.1 Quality -- 6.3.2.2 Agility -- 6.3.3 Architecture -- 6.3.4 Implementation -- 6.3.4.1 Model catalogue -- 6.3.4.2 NIHR health informatics collaborative -- 6.3.5 Evaluation -- 6.3.5.1 Productivity -- 6.3.5.2 Quality -- 6.3.5.3 Agility -- 6.4 Integrating Semantic Datasets into Enterprise Information Systems with PoolParty -- 6.4.1 Introduction -- 6.4.2 Problem Statement -- 6.4.2.1 Actors -- 6.4.3 Architecture -- 6.4.4 Implementation -- 6.4.4.1 Consistency violation detector -- 6.4.4.2 RDFUnit test generator -- 6.4.4.3 PoolParty integration -- 6.4.4.4 Notification adaptations -- 6.4.4.5 RDFUnit -- 6.4.4.6 Validation on import -- 6.4.5 Results -- 6.4.5.1 RDF constraints check -- 6.4.5.2 RDF validation -- 6.4.5.3 Improved notifications -- 6.4.5.4 Unified governance -- 6.4.6 Evaluation -- 6.4.6.1 Measuring overall value -- 6.4.6.2 Data quality dimensions and thresholds -- 6.4.6.3 Evaluation tasks -- 6.5 Data Validation at DBpedia -- 6.5.1 Introduction -- 6.5.2 Problem Statement -- 6.5.2.1 Actors -- 6.5.3 Architecture -- 6.5.4 Tools and Features -- 6.5.5 Implementation -- 6.5.6 Evaluation -- 6.5.6.1 Productivity -- 6.5.6.2 Quality -- 6.5.6.3 Agility -- Chapter 7 - Evaluation -- 7.1 Key Metrics for Evaluation -- 7.1.1 Productivity -- 7.1.2 Quality -- 7.1.3 Agility -- 7.1.4 Usability -- 7.2 ALIGNED Ethics Processes -- 7.3 Common Evaluation Framework -- 7.3.1 Productivity -- 7.3.2 Quality -- 7.3.3 Agility -- 7.4 ALIGNED Evaluation Ontology -- Appendix A - Requirements -- Index -- About the Editors -- Back Cover…”

Tabla de Contenidos: “…Work Management -- 5.1 Introduction -- 5.1.1 Work Management folder context sensitive menus -- 5.2 Active Jobs folder -- 5.2.1 Active Jobs: job management -- 5.3 Server Jobs folder -- 5.3.1 Managing server jobs -- 5.4 Job queues -- 5.4.1 Managing job queues -- 5.4.2 Managing waiting jobs on the job queue -- 5.5 Subsystems -- 5.5.1 Active Subsystem folder functions -- 5.5.2 Selected subsystem functions -- 5.6 Memory pools -- 5.6.1 Managing Active Pools -- 5.6.2 Managing Shared Pools -- 5.7 Operations Navigator Work Management tips -- 5.7.1 Use the menu bar cues Edit -&gt -- Find, Options -&gt -- Sort, Columns, Include -- 5.7.2 Use desktop shortcuts for frequently used active jobs, memory pools -- 5.7.3 Use the Server property of a server job to find the attached workstation -- 5.7.4 Set target job queue to hold status when moving jobs to that job queue -- 5.7.5 Consider using the system, job, and message monitors -- Chapter 6. …”

Tabla de Contenidos: “…A simplified explanation of the Android lifecycle -- Lifecycle phases - what we need to know -- Lifecycle phases - what we need to do -- Using the activity lifecycle to start and stop the thread -- Coding the run method -- Running the game -- Summary -- Chapter 10: Coding the Bat and Ball -- The Ball class -- Communicating with the game engine -- Representing rectangles and squares with RectF -- Coding the variables -- Coding the Ball constructor -- Coding the RectF getter method -- Coding the Ball update method -- Coding the Ball helper methods -- Coding a realistic-ish bounce -- Using the Ball class -- The Bat class -- Coding the Bat variables -- Coding the Bat constructor -- Coding the Bat helper methods -- Coding the Bat's update method -- Using the Bat class -- Coding the Bat input handling -- Running the game -- Summary -- Chapter 11: Collisions, Sound Effects, and Supporting Different Versions of Android -- Handling collisions -- Collision detection options -- Optimizing the detection methods -- Best options for Pong -- The RectF intersects method -- Handling different versions of Android -- Detecting the current Android version -- The SoundPool class -- Initializing SoundPool the new way -- Generating sound effects -- Adding sound to the Pong game -- Adding the sound variables -- Initializing the SoundPool -- Coding the collision detection and playing sounds -- The bat and the ball -- The four walls -- Playing the game -- Summary -- Chapter 12: Handling Lots of Data with Arrays -- Planning the project -- Starting the project -- Refactoring MainActivity to BulletHellActivity -- Locking the game to full-screen and landscape orientation -- Amending the code to use the full screen and the best Android class -- Creating the classes -- Reusing the Pong engine -- Coding the BulletHellActivity class -- Coding the BulletHellGame class…”

Tabla de Contenidos: “…. -- See also -- Chapter 8: Customizing Concurrency Classes -- Introduction -- Customizing the ThreadPoolExecutor class -- Getting ready -- How to do it... -- How it works... -- See also -- Implementing a priority-based Executor class -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing the ThreadFactory interface to generate custom threads -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using our ThreadFactory in an Executor object -- Getting ready -- How to do it... -- How it works... -- See also -- Customizing tasks running in a scheduled thread pool -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing the ThreadFactory interface to generate custom threads for the fork/join framework -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Customizing tasks running in the fork/join framework -- How to do it... -- How it works... -- See also -- Implementing a custom Lock class -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing a transfer queue-based on priorities -- Getting ready -- How to do it... -- How it works... -- See also -- Implementing your own atomic object -- Getting ready -- How to do it... -- How it works... -- See also -- Implementing your own stream generator -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing your own asynchronous stream -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also…”

Tabla de Contenidos: “…. -- See also -- Chapter 4: Convolutional Neural Networks -- Introduction -- Local receptive fields -- Shared weights and bias -- A mathematical example -- ConvNets in TensorFlow -- Pooling layers -- Max pooling -- Average pooling -- ConvNets summary -- Creating a ConvNet to classify handwritten MNIST numbers -- Getting ready -- How to do it... -- How it works... -- Creating a ConvNet to classify CIFAR-10 -- Getting ready -- How to do it... -- How it works... -- There's more... -- Transferring style with VGG19 for image repainting -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using a pretrained VGG16 net for transfer learning -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating a DeepDream network -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 5: Advanced Convolutional Neural Networks -- Introduction -- Creating a ConvNet for Sentiment Analysis -- Getting ready -- How to do it... -- How it works... -- There is more... -- Inspecting what filters a VGG pre-built network has learned -- Getting ready -- How to do it... -- How it works... -- There is more…”

Tabla de Contenidos: “…. -- There's more... -- Chapter 3: Pooling Resources -- Introduction -- Determining connection costs and limits -- Getting ready -- How to do it... -- How it works... -- There's more... -- Installing PgBouncer -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Configuring PgBouncer safely -- Getting ready -- How to do it... -- How it works... -- There's more... -- What about pool_mode? …”

Tabla de Contenidos: “…The LoadBalancer service -- The ExternalName service -- Introduction to load balancers -- Understanding the OSI model -- Layer 7 load balancers -- Name resolution and layer 7 load balancers -- Using nip.io for name resolution -- Creating Ingress rules -- Resolving Names in Ingress Controllers -- Using Ingress Controllers for non-HTTP traffic -- Layer 4 load balancers -- Layer 4 load balancer options -- Using MetalLB as a layer 4 load balancer -- Installing MetalLB -- Understanding MetalLB's custom resources -- MetalLB components -- Creating a LoadBalancer service -- Advanced pool configurations -- Disabling automatic address assignments -- Assigning a static IP address to a service -- Using multiple address pools -- IP pool scoping -- Handling buggy networks -- Using multiple protocols -- Introducing Network Policies -- Network policy object overview -- The podSelector -- The policyTypes -- Creating a Network Policy -- Tools to create network policies -- Summary -- Questions -- Chapter 5: External DNS and Global Load Balancing -- Technical requirements -- Making service names available externally -- Setting up ExternalDNS -- Integrating ExternalDNS and CoreDNS -- Adding an ETCD zone to CoreDNS -- ExternalDNS configuration options -- Creating a LoadBalancer service with ExternalDNS integration -- Integrating CoreDNS with an enterprise DNS server -- Exposing CoreDNS to external requests -- Configuring the primary DNS server -- Testing DNS forwarding to CoreDNS -- Load balancing between multiple clusters -- Introducing the Kubernetes Global Balancer -- Requirements for K8GB -- Deploying K8GB to a cluster -- Understanding K8GB load balancing options -- Customizing the Helm chart values -- Using Helm to install K8GB -- Delegating our load balancing zone -- Deploying a highly available application using K8GB…”

Tabla de Contenidos: “…5.4 Test scenarios and pilot -- 5.5 Case study: Logical design -- 5.6 Managing Customers and administrators -- 5.6.1 Adding a Customer to the Administration server -- 5.6.2 Creating and adding administrators accounts -- 5.6.3 Updating or deleting administration account details -- 5.6.4 Creating administrator accounts on the Runtime server -- 5.7 Managing IBM Tivoli License Manager components -- 5.7.1 Registering a Runtime server with the Administration server -- 5.7.2 Creating Divisions -- 5.7.3 Deploying an Agent on a node -- 5.7.4 Scheduling an inventory scan -- 5.7.5 Adding application users -- 5.8 Managing software entitlement and license pool -- 5.8.1 Gathering customer licensing and procurement information -- 5.8.2 Selecting a product for entitlement or license pool maintenance -- 5.8.3 Creating a license pool -- 5.9 Managing software product components -- 5.9.1 Updating the Master Catalog from the Unknown file table -- 5.9.2 Importing new releases of the ITLM catalog -- Chapter 6. …”

Tabla de Contenidos: “…Reflexiones sobre el diagnóstico agrario federado Los productores no somos todos iguales (como cuento); Los pools y la productividad; Políticas Públicas y Agricultura Familiar; Diferenciación de Políticas Públicas agrarias: una apuesta al sentido común; Los caminos del monocultivo; ¿A qué vamos el 18?…”

Tabla de Contenidos: “…Evans ; Jesus and the Galilean 'Am Ha'arets : fact, Johannine irony, or both? / Sean Freyne ; The pool of Siloam : the importance of new discoveries for our understanding of ritual immersion in late Second Temple Judaism and the Gospel of John / Urban C. von Wahlde ; The overrealized expulsion in the Gospel of John / Edward W. …”
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Tabla de Contenidos: “…Moral IncentivesSocial Incentives; Fairness of Incentives; Framing Incentives; Power of Incentives: IBM's Transformation; Incentives for Enterprise: Google; Perks, Options, and Awards; Time Off to Explore: Structure and Fruits of 20% Off; Challenge of Talent Retention; Incentives for Loyalty: General Motors; Technology Troubles; Labor and Union Priorities; Incentives for Innovation: 3M; Structuring Team Incentives: IBM's Learning from Online Gamers; Conclusion; Chapter 6 Fostering Internal Markets; Characteristics of Markets; Markets as Idea Generators; Markets as Talent Pools…”

Tabla de Contenidos: “…Implications for Data Collection Summary; Chapter Five - Metrics and Measurement for Program Evaluation; General Issues of Measurement; Strategy for Framing Evaluation Measures; Adding to Korea's Research Manpower Pool; Highly Educated Workforce Employment; High-Quality Globally Competitive Research; Changes to University/Department Infrastructure; Fostering a Competitive Environment Within Korea; Other Measures of Prestigious and Competitive Graduate Research; Measuring Enhanced University-Industry Collaboration; Measuring Enhanced Regional University Standing and Industry Linkage…”