Tabla de Contenidos: “…Intro -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Deep Learning -- A soft introduction to ML -- Working principles of ML algorithms -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Putting ML tasks altogether -- Delving into deep learning -- How did DL take ML into next level? -- Artificial Neural Networks -- Biological neurons -- A brief history of ANNs -- How does an ANN learn? …”

“…Updated to included expanded information on data resources, machine learning, artificial intelligence, and collaboration, Microsoft Azure For Dummies, 2nd Edition answers the call for an entry-level, comprehensive guide that provides a simple-to-understand primer on core Azure services. …”

“…Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling Key Features Generate labels for regression in scenarios with limited training data Apply generative AI and large language models (LLMs) to explore and label text data Leverage Python libraries for image, video, and audio data analysis and data labeling Purchase of the print or Kindle book includes a free PDF eBook Book Description Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. …”

Tabla de Contenidos: “…Generative AI and Search -- A Brief Overview of Artificial Intelligence -- More About Large Language Models -- Generative AI Solutions -- Generative AI Capabilities -- Prompt Generation (a.k.a. …”

Tabla de Contenidos: “…Ensemble learning -- 1.8. Artificial intelligence -- 1.8.1. Genetic algorithms -- 1.8.2. …”

“…Build, scale, and deploy deep neural network models using the star libraries in Python About This Book Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras Build, deploy, and scale end-to-end deep neural network models in a production environment Learn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and Kubernetes Who This Book Is For This book is for data scientists, machine learning engineers, artificial intelligence engineers, and for all TensorFlow users who wish to upgrade their TensorFlow knowledge and work on various machine learning and deep learning problems. …”

Tabla de Contenidos: “…Digital Sovereignty + Artificial Intelligence -- I. Introduction -- II. How Digital Sovereignty Might Influence AI -- A. …”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Section 1: Fundamentals of Deep Learning for Computer Vision -- Chapter 1: Artificial Neural Network Fundamentals -- Comparing AI and traditional machine learning -- Learning about the ANN building blocks -- Implementing feedforward propagation -- Calculating the hidden layer unit values -- Applying the activation function -- Calculating the output layer values -- Calculating loss values -- Calculating loss during continuous variable prediction -- Calculating loss during categorical variable prediction -- Feedforward propagation in code -- Activation functions in code -- Loss functions in code -- Implementing backpropagation -- Gradient descent in code -- Implementing backpropagation using the chain rule -- Putting feedforward propagation and backpropagation together -- Understanding the impact of the learning rate -- Learning rate of 0.01 -- Learning rate of 0.1 -- Learning rate of 1 -- Summarizing the training process of a neural network -- Summary -- Questions -- Chapter 2: PyTorch Fundamentals -- Installing PyTorch -- PyTorch tensors -- Initializing a tensor -- Operations on tensors -- Auto gradients of tensor objects -- Advantages of PyTorch's tensors over NumPy's ndarrays -- Building a neural network using PyTorch -- Dataset, DataLoader, and batch size -- Predicting on new data points -- Implementing a custom loss function -- Fetching the values of intermediate layers -- Using a sequential method to build a neural network -- Saving and loading a PyTorch model -- Using state_dict -- Saving -- Loading -- Summary -- Questions -- Chapter 3: Building a Deep Neural Network with PyTorch -- Representing an image -- Converting images into structured arrays and scalars -- Creating a structured array for colored images -- Why leverage neural networks for image analysis?…”

Tabla de Contenidos: “…Building with Java and Spring Boot -- Introducing Java -- Writing a Java app -- Introducing JSPs and servlets -- Introducing Spring and Spring Boot -- A simple Spring Boot web app -- Introducing .NET -- Generating a Hello World web app -- Using Python web app frameworks -- Django -- Flask -- Reviewing the roadmap -- Summary -- Chapter 8: Writing Less Code - CMSs, No-Code Solutions, and Generative AI -- Introducing WordPress -- Key features -- Understanding the technical perspective -- Getting to know Drupal -- Key features -- Understanding the technical perspective -- Throwing away coding altogether - "no-code" solutions -- Introducing some popular no-code solutions -- Utilizing artificial intelligence -- Generative AI -- GitHub Copilot -- Reviewing the roadmap -- Summary -- Part 3: Getting and Keeping a Job and Growing a Career -- Chapter 9: Landing Your First Job -- Understanding the FAANG/non-FAANG divide -- Calibrating your FAANG expectations -- Comparing tech companies to non-tech companies -- Using the web to become a web developer! …”

Tabla de Contenidos: “…Black Box Methods - Neural Networks and Support Vector Machines -- Understanding neural networks -- From biological to artificial neurons -- Activation functions -- Network topology -- The number of layers -- The direction of information travel -- The number of nodes in each layer -- Training neural networks with backpropagation -- Modeling the strength of concrete with ANNs -- Step 1 - collecting data -- Step 2 - exploring and preparing the data -- Step 3 - training a model on the data -- Step 4 - evaluating model performance -- Step 5 - improving model performance -- Understanding Support Vector Machines -- Classification with hyperplanes -- Finding the maximum margin -- The case of linearly separable data -- The case of non-linearly separable data -- Using kernels for non-linear spaces -- Performing OCR with SVMs -- Step 1 - collecting data -- Step 2 - exploring and preparing the data -- Step 3 - training a model on the data -- Step 4 - evaluating model performance -- Step 5 - improving model performance -- Summary -- 8. …”

Tabla de Contenidos: “…Maintaining Awareness of Changes to the Site Environment -- Addressing Room Environment Issues -- Acoustic Issues -- Sightline Issues -- Ambient and Artificial Lighting Issues -- Furniture and Room Finish Issues -- Addressing Building Environment Issues -- Building Services Issues -- Building Structure and Substructure Issues -- Building Regulation Issues -- Chapter Review -- Review Questions -- Answers -- Chapter 15. …”

“…The perfect place to begin learning how to improve your family photos, Adobe Photoshop Lightroom Classic For Dummies also helps you discover: How to take control of and organize your photo library How to apply common artificial intelligence-powered photo enhancements with the click of a mouse Ways to share your photos with the world, both digitally and on paper The premier jumping-off point for aspiring photo editors everywhere, this book is a can't-miss resource for anyone who wants to make the most of their digital photo collection and for professionals who want to expand their design skillset by learning Adobe Lightroom Classic…”

Tabla de Contenidos: “…Enabling Smart Bins -- Adding metadata manually -- Using Face Detection on the Cut page -- Summary -- Questions -- Further reading -- Glossary -- Artificial intelligence (AI) -- Archive -- B-roll -- Bins -- Cache -- Caching -- Clip -- Code -- Color cast -- Color grading -- Color management -- Color model -- Color space -- Color temperature -- Colorist -- Composition -- Continuity editing -- Cut -- Cutaway -- Cut-in -- Data -- Database -- Digital audio workstation (DAW) -- Exposure -- Exposure controls -- Frame rate/FPS -- Frames -- Framing -- Gamma -- Graphics -- Greenscreen -- Gray card -- Hard disk drive (HDD) -- ISO -- J-cut -- L-cut -- Lead room -- Looking room -- Media -- Neural Engine -- Neutral -- Non-linear editor (NLE) -- Plugins -- Project -- Reaction shot -- Render -- Resolve -- Run and gun -- Solid state drive (SSD) -- Sound effects (SFX) -- Split edit -- Stills -- Thumbnail -- Three-point edit -- Timeline -- Tools -- Transitions -- Visual effects (VFX) -- White balance -- Answers to Questions -- Chapter 1, Getting Started with Resolve - Publishing Your First Cut -- Chapter 2, Adding Titles and Motion Graphics -- Chapter 3, Polishing the Camera Audio - Getting It in Sync -- Chapter 4, Adding Narration, Voice Dubbing, and Subtitles -- Chapter 5, Creating Additional Sound -- Chapter 6, Working with Archive Footage -- Chapter 7, Stabilizing Shaky Footage -- Chapter 8, Hiding the Cut: Making our Edit Invisible -- Chapter 9, Adding Special Effects -- Chapter 10, Split Screens and Picture-in-Picture -- Chapter 11, Enhancing Color for Mood or Style -- Chapter 12, Studio-Only Techniques - so much quicker -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…The social Web (from 2010 to 2015) -- 1.7. An affective and artificial Web (2015 to the present) -- 1.8. Conclusion -- 1.9. …”

Tabla de Contenidos:

Tabla de Contenidos: “…The Post-Truth Era -- 15.1 Learning Outcomes -- 15.2 Introduction - Before and After COVID-19 -- 15.3 Technology - Big Data, Algorithms and Artificial Intelligence -- 15.4 Growth Areas in and Challenges for the PR Industry -- 15.5 Diversity and Inclusion -- 15.6 Careers and Internships -- References -- Index…”

Tabla de Contenidos: “…-- Intelligence at the edge versus on the cloud -- The Arduino ecosystem -- The IoT, big data, artificial intelligence, and machine learning -- The IoT, IIoT, and I4.0 -- Benefits for users -- The enablement of different business models -- Business models enabled by the IoT -- The architecture of an end-to-end IoT application -- Communication technologies and protocols -- Security aspects and device provisioning -- Hardware security -- Encryption for secure communication -- Bulk device provisioning -- Arduino PRO for commercial use cases -- Open source -- Benefits and obligations of different open source licenses -- The protection of your intellectual property -- Respect for the Arduino trademarks in commercial applications -- Summary -- Chapter 2: First Look at the Arduino IoT Cloud -- Technical requirements -- Understanding how the Arduino IoT Cloud works -- The Arduino IoT Cloud and the MKR1010 Hello World example -- What is the Arduino Create Agent? …”

Tabla de Contenidos: “…-- Essential Cloud Computing Characteristics -- Cloud Stakeholders -- ISO/IEC 17789 CCRA Roles and Sub-Roles -- Cloud Service Customer -- CSP -- Cloud Service Partner -- Cloud Auditor -- NIST Cloud Computing Key Actors -- Cloud Consumer -- Cloud Provider -- Cloud Broker -- Cloud Auditor (CA) -- Cloud Carrier (CC) -- Key Cloud Computing Technologies and Building Blocks -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 2: Cloud Reference Architecture -- Cloud Service Models -- Software as a Service (SaaS) -- Platform as a Service (PaaS) -- Infrastructure as a Service (IaaS) -- Cloud Service Models and Categories -- Cloud Deployment Models -- Shared Responsibility Model -- Shared Considerations for Cloud Deployments -- Emerging Technologies in Cloud Computing -- Data Science -- Artificial Intelligence and Machine Learning (AI/ML) -- Blockchain -- Internet of Things (IoT) -- Containers -- Quantum Computing -- Quantum as a Service (QaaS) -- Quantum-Enhanced Optimization and ML -- Quantum Simulation and Modeling -- Quantum Cloud-Based Software Development -- Edge Computing -- Confidential Computing -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 3: Top Threats and Essential Cloud Security Concepts and Controls -- The CIA Triad-Confidentiality, Integrity, and Availability -- Common Threats to Cloud Deployments -- Data Breaches -- Misconfiguration -- Insecure APIs -- Insider Threats -- Account Hijacking -- Security Control Categories and Types -- Security Control Categories/Classes -- Security Control Types and Functionality -- Summary -- Exam Readiness Drill - Chapter Review Questions…”

Tabla de Contenidos: “…Different optimization process for better bioinoculant development -- 2.1 RSM-based approach -- 2.2 Artificial neural network -- 2.3 Genetic algorithm -- 2.4 ASURE-based approach -- 2.5 Optimization by spray drying process -- 2.6 Optimization for liquid carrier bioformulation -- 2.7 Commercialization roadmap -- 3. …”

Tabla de Contenidos: “…Materials -- An Analysis on Chinese Graphite Resource and Its Development Suggestions / Isotope Geochemistry of the Shimensi Deposit: Implication for Ore Genesis / Simulation of β-stabilised γ-TiAl Alloy Rolling and Its Defects Analyses / Polarization Dependence of Defect Mode in One-dimensional Magnetic Photonic Crystal / Preparation and Characterization of TiO2-xNx with High Visible Light Activity / Session 6. Artificial Intelligence and Computer Science -- An Optimized MaxRPC Algorithm with a New Search Strategy / Deep Learning based Design Image Management / The Ultrasonic Detection Terrain Data Processing Based on Adaptive Kalman Filtering / A Two-phase Heuristic Algorithm for No-wait Flow Shop Scheduling / Session 7.…”