Форматированное содержание: Системы искусственного интеллекта в инженерии знаний; Методы представления знаний и решения задач в интеллектуальных системах; Применение систем искусственного интеллекта в профессиональной деятельности; Технологии экспертных систем; Нейросетевые технологии; Интеллектуальные информационные системы технологии на автомобильном транспорте

Форматированное содержание: Introduction and Setup; Getting to Know the Netlify Platform; Deployment and Optimization; Deploying a Web Application - Configuring Settings and Options; Optimizing Web Application Performance with Netlify; Understanding the Jamstack Architecture; Advanced Concepts - A/B Testing, Webhooks, and Forms; Scaling and Maintenance; Scaling Considerations and Optimizations; Maintenance and Troubleshooting

Форматированное содержание: Getting Started with Streamlit; Getting to Know Streamlit - A Brief Overview; Setting Up the Python Coding Environment; Exploring Streamlit’s Features and Functionality; Building a Basic Web App for Essential Streamlit Skills; Streamlit Essentials - Configuring the Environment, Managing Packages, and More; Organizing and Displaying Content with Columns, Expanders, and NLP Techniques; Implementing NLP Techniques for Text Analysis and Processing in Streamlit; Sharing and Deploying Your Apps on the Cloud Using Streamlit Share; Developing Advanced Skills with a Covid-19 Detection Tool; Advanced Environment Setup and Package Management for Building an AI-Powered Web App; Optimizing Streamlit Web App UX with Customization and UI Features; Utilizing Pretrained Models to Create Specialized and Personalized Web Applications; Deploying and Managing Complex Libraries on Streamlit Share; Advanced Techniques for Secure and Customizable Web Applications; Smart File Uploading - Advanced Techniques for Professional Web Applications; Creating a Secure Login and Signup Process for Web Applications; Customizing Pages, Personalizing Themes, and Implementing Multi-Pages; Enhancing Web Apps with Forms, Session State, and Customizable Subdomains; Takeaways and Conclusion

Форматированное содержание: Fundamentals of Web APIs; Getting Started with ASP.NET Core Web APIs; ASP.NET Core Fundamentals; ASP.NET Core Fundamentals; Data Access in ASP.NET Core; Security and Identity in ASP.NET Core; Testing in ASP.NET Core; Getting Started with gRPC; Getting Started with GraphQL; Getting Started with SignalR; CI/CD for ASP.NET Core Using Azure Pipelines and GitHub Actions; ASP.NET Core Web API Common Practices; Error Handling, Monitoring, and Observability; Cloud-Native Patterns

Форматированное содержание: Data Science Terminology; Types of Data; The Five Steps of Data Science; Basic Mathematics; Impossible or Improbable - A Gentle Introduction to Probability; Advanced Probability; What Are the Chances? An Introduction to Statistics; Advanced Statistics; Communicating Data; How to Tell if Your Toaster is Learning - Machine Learning Essentials; Predictions Don’t Grow on Trees, or Do They?; Introduction to Transfer Learning and Pre-Trained Models; Mitigating Algorithmic Bias and Tackling Model and Data Drift; AI Governance; Navigating Real-World Data Science Case Studies in Action

Форматированное содержание: Learning Modern Core Language Features; Working with Numbers and Strings; Exploring Functions; Preprocessing and Compilation; Standard Library Containers, Algorithms, and Iterators; General-Purpose Utilities; Working with Files and Streams; Leveraging Threading and Concurrency; Robustness and Performance; Implementing Patterns and Idioms; Exploring Testing Frameworks; C++ 20 Core Features

Форматированное содержание: Part 1: Introduction: Introduction to Microservices; Part 2: Foundation: Scaffolding a Go Microservice; Service Discovery; Serialization; Synchronous Communication; Asynchronous Communication; Storing Service Data; Deployment with Kubernete; Unit and Integration Testing; Part 3: Maintenance: Reliability Overview; Collecting Service Telemetry Data; Setting Up Service Alerting; Advanced Topics

Форматированное содержание: Part 1: Getting Started with Matlab: Exploring MATLAB for Machine Learning; Working with Data in MATLAB; Part 2: Understanding Machine Learning Algorithms in MATLAB: Prediction Using Classification and Regression;Clustering Analysis and Dimensionality Reduction; Introducing Artificial Neural Network Modeling; Deep Learning and Convolutional Neural Networks; Part 3: Machine Learning in Practice: Natural Language Processing Using MATLAB; MATLAB for Image Processing and Computer Vision; Time Series Analysis and Forecasting with MATLAB; MATLAB Tools for Recommender Systems; Anomaly Detection in MATLAB

Форматированное содержание: Foundational Concepts for Data Quality and Data Integrity for Finance: Recognizing the Importance of Data Integrity in Finance; Avoiding Common Data Integrity Issues and Challenges in Finance Teams; Measuring the Impact of Data Integrity Issues; Pragmatic Solutions to Manage Financial Data Quality and Data Integrity: Understanding the Data Integrity Management Capabilities of Business Intelligence Tools; Using Business Intelligence Tools to Fix Data Integrity Issues; Implementing Best Practices When Using Business Intelligence Tools; Detecting Fraudulent Transactions Affecting Financial Report Integrity; Modern Strategies to Manage the Data Integrity of Finance Systems: Using Database Locking Techniques for Financial Transaction Integrity; Using Managed Ledger Databases for Finance Data Integrity; Using Artificial Intelligence for Finance Data Quality Management

Форматированное содержание: Learning How to Program: Setting Up the Environment; Getting Familiar with Variables and Control Flow; Grouping Information in Arrays, Loops, and Dictionaries; Bringing Structure with Methods and Classes; How and Why to Keep Your Code Clean; Making a Game in Godot Engine: Creating a World of Your Own in Godot; Making the Character Move; Splitting and Reusing Scenes; Cameras, Collisions, and Collectibles; Creating Menus, Making Enemies, and Using Autoloads; Playing Together with Multiplayer; Deepening Our Knowledge: Exporting to Multiple Platforms; OOP Continued and Advanced Topics; Advanced Programming Patterns; Using the File System; What Next?

Форматированное содержание: Новая информационная база и режимы ее запуска; Главное окно программы; Дополнительные реквизиты, типы данных и др.

Форматированное содержание: An Introduction to Time Series and the Required Python Knowledge; Implementing SAX; iSAX - The Required Theory; iSAX - The Implementation; Joining and Comparing iSAX Indexes; Visualizing iSAX Indexes; Using iSAX to Approximate MPdist; Conclusions and Next Steps

Форматированное содержание: Python Installation and the Cloud; Using Python on AWS; Creating an AWS Account; A Deep Dive into AWS with Python; Cloud Computing with Lambda; Running Python Applications on EC2; Running Python Applications with PyCharm; Deploying Python Applications on Elastic Beanstalk; Useful AWS Services to Implement Python; Monitoring Applications via CloudWatch; Database Operations with RDS; Creating an API in AWS; Using Python with NoSQL (DynamoDB); Using Python with Glue; Reference Project on AWS

Форматированное содержание: Understanding How PrestaShop is Structured and How It Works; Quick Overview of PrestaShop; The Configuration and Initialization of PrestaShop; The Front Office; The Back Office; The Hooks; The Themes; How to Create Your Own Modules; What Are Modules? Let’s Create a Hello World Module; A Reinsurance Block Module; A Customer Callback Request Module; Category Extension Module; A Simple Blogging Module; A Cash Payment Module; A Drive Delivery Module; Customizing Your Theme; How to Create a Child Theme; Overriding Some Templates; Assets Compiling with Webpack

Форматированное содержание: Part 1: Migrating to the Cloud: Introduction to Cloud Transformation; Understanding Cloud Migration; Preparing for Cloud Migration; Implementing Cloud Migration Strategies; Part 2: Cloud Modernization - Application, Data, Analytics, and IT: Modernization in the Cloud; Application Modernization Approaches; Application Modernization - Compute; Implementing Compute and Integration on the Cloud Using AWS; Modernizing Data and Analytics on AWS; Part 3: Security and Networking Transformation; Transforming Security on the Cloud Using AWS; Transforming Networking on the Cloud Using AWS; Part 4: Cloud Economics, Compliance, and Governance: Operating on the Cloud with AWS; Wrapping Up and Looking Ahead

Форматированное содержание: Introduction to Multi-Cloud; Collecting Business Requirements; Starting the Multi-Cloud Journey; Service Designs for Multi-Cloud; Managing the Enterprise Cloud Architecture; Controlling the Foundation Using Well-Architected Frameworks; Designing Applications for Multi-Cloud; Creating a Foundation for Data Platforms; Creating a Foundation for IoT; Managing Costs with FinOps; Maturing FinOps; Cost Modeling in the Cloud; Implementing DevSecOps; Defining Security Policies; Implementing Identity and Access Management; Defining Security Policies for Data; Implementing and Integrating Security Monitoring; Developing for Multi-Cloud with DevOps and DevSecOps; Introducing AIOps and GreenOps in Multi-Cloud; Conclusion: The Future of Multi-Cloud

Форматированное содержание: Getting Started with Modern Android Development Skills; Creating Screens Using a Declarative UI and Exploring Compose Principles; Handling the UI State in Jetpack Compose and Using Hilt; Navigation in Modern Android Development; Using DataStore to Store Data and Testing; Using the Room Database and Testing; Getting Started with WorkManager; Getting Started with Paging; Building for Large Screens; Implementing Your First Wear OS Using Jetpack Compose; GUI Alerts - What’s New in Menus, Dialog, Toast, Snackbars, and More in Modern Android Development; Android Studio Tips and Tricks to Help You during Development

Форматированное содержание: Part 1 - An Introduction to Advanced PLC Programming: Software Engineering for PLCs; Advanced Structured Text - Programming a PLC in Easy-to-Read English; Debugging - Making Your Code Work; Complex Variable Declaration - Using Variables to Their Fullest; Part 2 – Modularity and Objects: Functions - Making Code Modular and Maintainable; Object-Oriented Programming - Reducing, Reusing, and Recycling Code; OOP - The Power of Objects; Part 3 – Software Engineering for PLCs: Libraries - Write Once, Use Anywhere; The SDLC - Navigating the SDLC to Create Great Code; Advanced Coding - Using SOLID to Make Solid Code; Part 4 – HMIs and Alarms: HMIs UIs for PLCs; Industrial Controls - User Inputs and Outputs; Layouts - Making HMIs User-Friendly; Alarms - Avoiding Catastrophic Issues with Alarms; Part 5 – Final Project and Thoughts: Putting It All Together - The Final Project; Distributed Control Systems, PLCs, and Networking