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Free Download Deep Learning with JAX, Video Edition by Grigory Sapunov Published:: 11/2024 Duration: 10h 58mm | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 2.46 GB Genre: eLearning | Language: English In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google's Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX's concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You'll learn how to use JAX's ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. About the Technology Google's JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the Book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you'll discover how JAX's unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You'll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX's functional programming mindset improves composability and parallelization. What's Inside Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax https://www.oreilly.com/library/view/deep-learning-with/9781633438880AU/ [b]AusFile[/b] https://ausfile.com/eusa2elbfs0z/fhian.Deep.Learning.with.JAX.Video.Edition.part1.rar.html https://ausfile.com/gdc9jzrkw5go/fhian.Deep.Learning.with.JAX.Video.Edition.part3.rar.html https://ausfile.com/t0hj4w1l1fg3/fhian.Deep.Learning.with.JAX.Video.Edition.part2.rar.html Fileaxa https://fileaxa.com/fbe4o7xiqhln/fhian.Deep.Learning.with.JAX.Video.Edition.part1.rar https://fileaxa.com/sggl3n7325zl/fhian.Deep.Learning.with.JAX.Video.Edition.part3.rar https://fileaxa.com/wqgz3pr7cb5y/fhian.Deep.Learning.with.JAX.Video.Edition.part2.rar TakeFile https://takefile.link/9gy0z654w22n/fhian.Deep.Learning.with.JAX.Video.Edition.part2.rar.html https://takefile.link/npxo7z3gkg9b/fhian.Deep.Learning.with.JAX.Video.Edition.part1.rar.html https://takefile.link/yd0mx058fcep/fhian.Deep.Learning.with.JAX.Video.Edition.part3.rar.html Rapidgator https://rg.to/folder/8028736/DeepLearningwithJAXVideoEdition.html http://peeplink.in/01920b38c23d Fikper Free Download https://fikper.com/78jxyVCB9L/fhian.Deep.Learning.with.JAX.Video.Edition.part3.rar.html https://fikper.com/iZVZCAq00a/fhian.Deep.Learning.with.JAX.Video.Edition.part1.rar.html https://fikper.com/v2tmPyzo6c/fhian.Deep.Learning.with.JAX.Video.Edition.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Master PyTorch, Transformers, Deep Learning - Zero to Gen AI Published: 4/2025 Created by: Rahul Raj MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 236 Lectures ( 19h 5m ) | Size: 8.21 GB From Python basics to transformers with PyTorch! Master deep learning, CNNs, and attention. Build Generative AI Project What you'll learn Learn Python and Pytorch programming from scratch with practical examples and real-world use cases. Master NumPy, Pandas, and Matplotlib for data analysis and visualization. Build machine learning models like linear and logistic regression using Python and PyTorch. Understand deep learning fundamentals and create neural networks from scratch. Learn the transformer architecture and build it step-by-step using PyTorch. Create a real-world RAG agent project using DeepSeek and PyTorch. Requirements No Prerequisite Description .Master Python, PyTorch & Transformers: From Basics to Advanced AI ProjectsCourse Highlights:Master Python & Core LibrariesLearn Python basics (syntax, data structures, OOP).Manipulate data with Pandas, crunch numbers with NumPy, and visualize insights with Matplotlib.Build Machine Learning FoundationsCode ANNs, linear/logistic regression from scratch in Python (no frameworks!).Reimplement models using PyTorch to leverage tensor operations and autograd.Dive into Transformers & Modern AIDecode the Transformer paper (attention mechanisms, positional encoding, self-attention).Build a Transformer from scratch in PyTorch-layer by layer!Industry-Ready Projects Project 1: Build a Transformer Model End-to-EndTrain it on real data for tasks like text generation or translation.Project 2: RAG (Retrieval-Augmented Generation) Agent with DeepSeekIntegrate retrieval models + transformers to create an AI agent that answers questions using external knowledge.Handle data pipelines, fine-tuning, and deployment.Why This Course Stands Out?Zero to Advanced: Start with Python basics, end with cutting-edge AI.Code Without Frameworks First: Deepen understanding before using PyTorch shortcuts.Paper-to-Practice: Implement the Transformer architecture exactly as described in the seminal paper.Portfolio Boost: Showcase your RAG agent and Transformer projects to employers. Perfect For:Aspiring AI/ML engineers, data scientists, or developers.Learners who want hands-on projects (not just theory!).Anyone aiming to crack NLP roles or build LLM-powered apps.You'll Leave With:Fluency in Python, PyTorch, and transformer theory.A deployed RAG agent project + full Transformer implementation.Confidence to tackle real-world AI challenges. Enroll Now - Transform Code into Intelligent Systems! 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Free Download Udemy - Mastering Japanese Deep Culture Communication Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 54m | Size: 2.28 GB A Cognitive Approach to Intercultural Communication for Long Term Success What you'll learn Understand key Japanese cultural concepts A deeper understanding Japanese culture communication behavior A deeper understanding of Japanese culture beyond the Dos and Donts Gain confidence in communicating successfully with Japanese A greater understanding of your own cultural norms and communication values Recognize common misunderstandings Analyze Japanese business conversations using intercultural communication theory to identify indirect communication patterns and subtle cues. Requirements An interest in Japanese Culture or Intercultural Communication Description Are you fascinated by Japanese culture but often find communication confusing? Have you ever wondered why Japanese people rarely say "no" directly or why silence is sometimes more powerful than words?In this course, we'll explore the deep cultural mindset that shapes Japanese communication and analyze real-life interactions using intercultural communication theories. Whether you're working with Japanese colleagues, doing business, studying in Japan, or simply interested in understanding the nuances of Japanese culture, this course will give you the tools to navigate interactions with confidence.What You'll Learn:• Key cultural concepts like honne & tatemae (true feelings vs. public face), Aimai ( indirect communication).• How Japanese social norms influence business, daily life, and personal relationships• Common cross-cultural misunderstandings and how to avoid them• How to interpret nonverbal cues, silence, and indirect responses in Japanese communication• Practical strategies for improving intercultural communication with Japanese speakersCourse Features:• Real-life case studies of example business conversations illustrating cultural misunderstandings• Interactive quizzes to test your understanding• Breakdowns of authentic Japanese conversations with analysis• Actionable communication strategies for business and social settingsBy the end of this course, you'll have a deeper understanding of Japan's communication culture and be able to navigate interactions with Japanese people more effectively.Join now and start uncovering the hidden layers of Japanese culture and communication today! Who this course is for Professionals and business people: those working colleagues, clients or partners who want to improve their cross-cultural communication skills. Educators and Students: Learners of Japanese language and culture, as well as teachers who want to deepen their understanding of Japan's unique communication style. Expats and travelers: Anyone living in or visiting Japan who wants to navigate social interactions smoothly and avoid cultural misunderstandings. Those who want to go beyond the Dos and Donts of Japanese culture for long term success Homepage: https://www.udemy.com/course/japan-deep-culture/ [b]AusFile[/b] https://ausfile.com/0os0fryblbk1/ildfw.Mastering.Japanese.Deep.Culture.Communication.part2.rar.html https://ausfile.com/sufowxrmg66u/ildfw.Mastering.Japanese.Deep.Culture.Communication.part1.rar.html https://ausfile.com/wn9gyrwodf8y/ildfw.Mastering.Japanese.Deep.Culture.Communication.part3.rar.html Rapidgator https://rg.to/file/0fe37326d5d7dd137ca3161eb0565bb7/ildfw.Mastering.Japanese.Deep.Culture.Communication.part1.rar.html https://rg.to/file/708264fbea305e07bce05bc5ea70729c/ildfw.Mastering.Japanese.Deep.Culture.Communication.part3.rar.html https://rg.to/file/beec22f7e46f8cbafe09c020dcecf7c2/ildfw.Mastering.Japanese.Deep.Culture.Communication.part2.rar.html Fikper Free Download https://fikper.com/ISuSz7JfUy/ildfw.Mastering.Japanese.Deep.Culture.Communication.part3.rar.html https://fikper.com/VUO8PG9Idt/ildfw.Mastering.Japanese.Deep.Culture.Communication.part2.rar.html https://fikper.com/cK5P2TmmIN/ildfw.Mastering.Japanese.Deep.Culture.Communication.part1.rar.html No Password - Links are Interchangeable

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Free Download Udemy - Angular 19 - Deep Dive into Modern Web Development Published: 3/2025 Created by: Uplatz Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 62 Lectures ( 22h 22m ) | Size: 9.9 GB Build dynamic, scalable, and high-performance web applications with Angular. Learn fundamentals to advanced concepts. What you'll learn Understand the Fundamentals of Angular - Learn the core concepts, architecture, and benefits of Angular 19 for modern web development. Set Up and Configure an Angular Project - Install Angular CLI, create projects, and navigate the Angular file structure. Master Angular Components and Data Binding - Build reusable components, implement interpolation, event binding, and two-way data binding. Implement Angular Directives and Pipes - Utilize built-in directives like *ngIf, *ngFor, and create custom pipes for data transformation. Work with Angular Forms - Build and validate template-driven and reactive forms for user input handling. Handle Routing and Navigation - Implement single-page applications (SPA) using Angular Router, lazy loading, and route guards. Manage State with Angular Signals and RxJS Observables - Understand reactivity, state management, and optimize data handling. Consume and Integrate RESTful APIs - Perform CRUD operations using HTTP services, handle API responses, and manage asynchronous data. Implement Authentication and Authorization - Secure applications with user authentication, route guards, and JWT-based security. Enhance UI/UX with Dynamic Styling and Animations - Apply CSS, Tailwind, and Angular animations to improve user experience. Optimize Performance and Scalability - Use best practices for performance optimization, dependency injection, and efficient rendering. Deploy Angular Applications - Learn how to build, optimize, and deploy applications using platforms like Vercel or Firebase. Understand Angular Dependency Injection (DI) - Manage services efficiently using Angular's dependency injection system. Develop Reusable Components and Modules - Design modular and scalable applications by creating reusable UI components. Work on Real-World Angular Projects - Build hands-on projects like a to-do list, dynamic dashboards, and e-commerce interfaces. Requirements Enthusiasm and determination to make your mark on the world! Description A warm welcome to the Angular 19: Deep Dive into Modern Web Development course by Uplatz.Angular is a TypeScript-based open-source front-end framework developed and maintained by Google. It is used for building dynamic, scalable, and high-performance web applications. Angular follows a component-based architecture and supports Single Page Applications (SPA), which provide a seamless user experience by dynamically updating content without reloading the entire page.Angular 19 is the latest stable release of the Angular framework, bringing performance improvements, new features, and enhanced developer experience. It continues the evolution of Angular with better state management, enhanced routing, and improved API integrations.Angular continues to be a powerful frontend framework that offers speed, efficiency, and a modern development experience. It is an excellent choice for developers, enterprises, and startups looking to build high-performance web applications.How Angular WorksAngular follows a structured workflow based on components, templates, and services. The core working mechanism involves:Component-Based ArchitectureApplications are built using reusable components that control UI elements and logic.Templates and Data BindingHTML templates define the UI structure, and data binding synchronizes data between the model and view.DirectivesSpecial markers in HTML (*ngIf, *ngFor, ngClass) that control the rendering and behavior of elements.Dependency Injection (DI)Provides services and data efficiently to different parts of the application.Routing & NavigationUses Angular Router for Single Page Application (SPA) navigation without full page reloads.State ManagementSupports RxJS (Reactive Extensions for JavaScript) and Angular Signals for handling application state and data streams.API Integration & HTTP ClientUses HttpClientModule to fetch, send, and manipulate data from REST APIs.Build & DeploymentAngular applications are built using Angular CLI and can be deployed on platforms like Firebase, Vercel, or AWS.Key Features of Angular 19Angular Signals for State ManagementAn alternative to RxJS for a more intuitive way to handle state changes.Improved Hydration for Server-Side Rendering (SSR)Enhances page load speed and SEO with efficient hydration techniques.Faster Builds with Optimized Angular CompilerReduces bundle size and improves rendering performance.Better Developer ExperienceEnhanced debugging and improved error messages.Lazy Loading with Improved Route HandlingLoads only required modules to optimize performance.Advanced Form ValidationSupports custom validators and reactive form improvements.Web Components & Micro Frontend SupportBetter integration with Web Components for scalable applications.Enhanced TypeScript & ES6+ FeaturesImproved compatibility with latest JavaScript and TypeScript features.Optimized Change DetectionReduces unnecessary DOM updates, improving performance.CLI EnhancementsNew CLI commands for faster builds, unit testing, and deployment.Benefits of using AngularHigh Performance & Scalability - The component-based architecture and optimized rendering make Angular ideal for large-scale applications.Enterprise-Grade Framework - Used by major companies like Google, Microsoft, and IBM for mission-critical applications.Single Page Application (SPA) Capabilities - Ensures smooth and dynamic user experiences with fast navigation.Robust Ecosystem - Backed by Google and a strong developer community, ensuring long-term support and frequent updates.Enhanced Security - Provides built-in protection against web vulnerabilities like XSS (Cross-Site Scripting) and CSRF (Cross-Site Request Forgery).Cross-Platform Support - Can be used for web, mobile (with Ionic), and even desktop applications.Improved SEO with Server-Side Rendering (SSR) - Enhances search rankings and page speed, making Angular suitable for SEO-driven applications.Strong TypeScript Support - Offers better code structure, maintainability, and debugging capabilities.Extensive Third-Party Integrations - Easily integrates with libraries like RxJS, NgRx, Tailwind CSS, and Firebase for extended functionality.Optimized Change Detection - Reduces unnecessary DOM updates, improving application efficiency and responsiveness.Faster Development with Angular CLI - Provides built-in commands for scaffolding, testing, and deploying applications.Modular Development Approach - Encourages code reusability and better project organization, leading to easier maintainability.Built-in Form Validation & Reactive Forms - Supports both template-driven and reactive forms with powerful validation mechanisms.Automatic Dependency Injection (DI) - Simplifies application structure and improves testability.Lazy Loading Support - Loads only required modules, reducing initial load time and improving application speed.Angular - Course CurriculumModule 1: Angular Foundations1. What is Angular?Introduction to Angular and its benefits.Why learn Angular for modern web development.2. Angular 19 SetupInstalling Angular CLI.Creating a new Angular application.Troubleshooting common setup issues.3. First Changes in Angular AppBasic modifications to app.component.html and app.component.ts.Understanding the initial application structure.4. Angular 19 File and Folder StructureDetailed explanation of the Angular project architecture.Understanding the purpose of key files and folders.5. Interpolation in AngularDisplaying data in templates using interpolation.Practical examples of data binding.6. Angular CLIEssential Angular CLI commands for development.Generating components, services, and modules.Module 2: Core Angular Concepts7. Angular ComponentsUnderstanding the role of components in Angular.Component lifecycle and data flow.8. Creating a Custom ComponentManual creation of reusable components.Component interaction and best practices.9. Function Calls on Button Click in AngularHandling user interactions with event binding.Implementing event handlers and methods.10. Defining Data Types in AngularUsing TypeScript data types for robust applications.Type safety and best practices.11. Build a Counter App in AngularHands-on project: building a simple counter application.Applying core Angular concepts.12. Important Events in AngularExploring common DOM events in Angular.Practical examples of event handling.13. Getting and Setting Input Field Values in AngularTwo-way data binding and form input handling.Practical input field manipulation.14. Styling in AngularComponent-specific styling and global styles.Using CSS, SCSS, and other styling techniques.15. Conditional Rendering with if-else and Toggle FunctionalityUsing *ngIf for conditional rendering.Implementing toggle functionality.16. Control Flow with else ifExpanding conditional logic with *ngIf and else if.17. Using switch-case in AngularImplementing switch-case logic in templates.18. Using for Loop in AngularIterating over data with *ngFor.19. Angular SignalsIntroduction to Angular Signals for reactive state management.20. Data Types with SignalsUsing various data types with Signals.21. Computed SignalsUtilizing computed signals for derived values.22. Angular EffectsUnderstanding and using Angular Effects.23. @for Loop and Contextual VariablesExploration of the @for loop and contextual variables.24. Two-Way BindingImplementing two-way data binding with ngModel.25. To-Do ListHands-on project: building a to-do list application.26. Angular Dynamic StylingApplying dynamic styles based on component state.27. Directives in AngularIntroduction to structural and attribute directives.28. ngFor DirectiveAdvanced usage of the ngFor directive.29. ngIf DirectiveUsing the ngIf directive and else blocks.30. ngSwitch DirectiveImplementing switch-case logic with ngSwitch.Module 3: Routing, Forms, and Data Management31. Basic Routing in AngularSetting up routes and navigation.Creating single-page applications.32. Adding a Header with RoutingImplementing a navigation header with routing.33. Creating a 404 PageHandling invalid routes with a 404 page.34. Passing Data Between PagesPassing data using route parameters and query parameters.35. Dynamic RoutingImplementing dynamic routes with parameters.36. Forms in AngularIntroduction to template-driven and reactive forms.37. Basic Reactive FormsCreating forms with reactive form APIs.38. Reactive Forms with Form GroupingOrganizing forms with form groups.39. Reactive Form ValidationImplementing form validation with reactive forms.40. Template-Driven FormsCreating forms with template-driven approach.41. Angular Template-Driven Forms ValidationValidation of Template driven forms.42. Passing Data from Parent to ChildUsing @Input to pass data between components.43. Reusable Component ExampleBuilding reusable components.44. Passing data from a Child Component to a Parent ComponentUsing @Output and event emitters.45. Angular PipesTransforming data with built-in pipes.46. Creating Custom Pipes in AngularBuilding custom data transformation pipes.47. Angular Lifecycle Hooks TutorialUnderstanding component lifecycle hooks.48. Angular ServicesCreating and using Angular services for data sharing.49. Calling API with Services in AngularMaking HTTP requests with Angular services.50. Using Data Types for API ResultsTyping API responses.51. Post API TutorialImplementing POST requests.52. Delete API TutorialImplementing DELETE requests.53. Populate Data in Input Fields with APIPopulating forms with API data.54. Update Data with PUT API MethodImplementing PUT requests.55. Route Lazy LoadingImproving performance with lazy loading.Module 4: Advanced Angular and Deployment56. Build and Local DeployBuilding and deploying Angular applications locally.57. Deploying an Angular App on VercelDeploying Angular applications to Vercel.58. Setup Tailwind CSS in AngularIntegrating Tailwind CSS for styling.59. Introduction to RxJS in AngularUnderstanding RxJS observables and operators.60. RxJS Observables vs Angular SignalsComparision of Signals and Observables.61. Angular Dependency Injection (DI)Understanding and using dependency injection.62. Optimizing Performance in AngularTechniques for optimizing Angular application performance. Who this course is for Beginner Web Developers - Those new to Angular or frontend development who want to build dynamic web applications. Frontend Developers - Developers familiar with HTML, CSS, and JavaScript looking to upgrade their skills with Angular. Full-Stack Developers - Backend developers who want to integrate Angular with their existing backend technologies. Software Engineers - Professionals aiming to specialize in modern web application development using Angular. UI/UX Designers with Coding Knowledge - Designers who want to implement interactive and dynamic user interfaces. Students & Computer Science Graduates - Individuals looking to enhance their job prospects with Angular expertise. Freelancers & Entrepreneurs - Those interested in building professional-grade web applications for clients or businesses. Developers Switching from Other Frameworks - React, Vue, or jQuery developers looking to explore Angular's ecosystem. Backend Developers - Professionals working with Node.js, Python, or Java who want to integrate Angular in full-stack applications. Corporate Teams & IT Professionals - Employees working in companies adopting Angular for enterprise applications. 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Free Download Udemy - Machine Learning & Deep Learning Masterclass In One Semester Last updated: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 16.94 GB | Duration: 46h 49m Practical Oriented Explanations by solving more than 80 projects with NumPy, Scikit-learn, Pandas, Matplotlib, PyTorch. What you'll learn Theory, Maths and Implementation of machine learning and deep learning algorithms. Classification Models used in classical Machine Learning such as Logistic Regression, KNN, Support Vector Machines, Decision Trees, and Random Forest Build Artificial Neural Networks and use them for Regression and Classification Problems Using GPU with Neural Networks and Deep Learning Models. Convolutional Neural Networks Transfer Learning Recurrent Neural Networks and LSTM Time series forecasting and classification. Autoencoders Generative Adversarial Networks (GANs) Python from scratch Numpy, Matplotlib, Seaborn, Pandas, Pytorch, Scikit-learn and other python libraries. More than 80 projects solved with Machine Learning and Deep Learning models Requirements Some Programming Knowledge is preferable but not necessary Gmail account ( For Google Colab ) Description IntroductionIntroduction of the CourseIntroduction to Machine Learning and Deep LearningIntroduction to Google ColabPython Crash CourseData PreprocessingSupervised Machine LearningRegression AnalysisLogistic RegressionK-Nearest Neighbor (KNN)Bayes Theorem and Naive Bayes ClassifierSupport Vector Machine (SVM)Decision TreesRandom ForestBoosting Methods in Machine LearningIntroduction to Neural Networks and Deep LearningActivation FunctionsLoss FunctionsBack PropagationNeural Networks for Regression AnalysisNeural Networks for ClassificationDropout Regularization and Batch NormalizationConvolutional Neural Network (CNN)Recurrent Neural Network (RNN)AutoencodersGenerative Adversarial Network (GAN)Unsupervised Machine LearningK-Means ClusteringHierarchical ClusteringDensity Based Spatial Clustering Of Applications With Noise (DBSCAN)Gaussian Mixture Model (GMM) ClusteringPrin[beeep]l Component Analysis (PCA)What you'll learnTheory, Maths and Implementation of machine learning and deep learning algorithms.Regression Analysis.Classification Models used in classical Machine Learning such as Logistic Regression, KNN, Support Vector Machines, Decision Trees, Random Forest, and Boosting Methods in Machine Learning.Build Artificial Neural Networks and use them for Regression and Classification Problems.Using GPU with Deep Learning Models.Convolutional Neural NetworksTransfer LearningRecurrent Neural NetworksTime series forecasting and classification.AutoencodersGenerative Adversarial NetworksPython from scratchNumpy, Matplotlib, seaborn, Pandas, Pytorch, scikit-learn and other python libraries.More than 80 projects solved with Machine Learning and Deep Learning models. 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Free Download 2025 Cyber Security Deep Dive - Real-World Cases + Tools Published: 3/2025 Created by: EduSprint Learning,Dhiraj Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 58 Lectures ( 8h 2m ) | Size: 9 GB Become a Cyber Security Expert: Learn Practical Skills and Real-World Attack Analysis What you'll learn Foundations of Cybersecurity: Build a strong cybersecurity foundation by mastering threats, vulnerabilities, and risk management. Open Source Intelligence (OSINT): Master OSINT tools to gather key info, identify security threats, and boost your investigative skills. Network Security Essentials: Learn to secure networks with effective firewalls and IDS against unauthorized access. Wireshark Proficiency: Master Wireshark to capture and analyse network traffic, detecting suspicious activities. 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Access to laptop and internet is a must. Description Want to become a part of one of the most promising career opportunities? Cyber security is the domain that will not only offer a rewarding growth curve but also holds a great future. With more and more companies becoming data-compliant, the demand for cybersecurity professionals will continue to grow. This "2025 Cyber Security Mega Deep Dive" is your ultimate guide! This Cyber Security Course has been carefully curated to include all the fundamentals of cybersecurity, while also covering the complex topics like implementation of cybersecurity principles. Whether you're a complete beginner or have some IT experience, this complete Cyber Security Course will equip you with the skills you need to protect systems and data.This course covers everything from the basics of information security to advanced techniques for threat detection and prevention. 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Free Download The Deep Reinforcement Learning Guide to Connect Four Published: 3/2025 Created by: Alex Palioudakis MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 57 Lectures ( 13h 58m ) | Size: 4.4 GB Master Deep Reinforcement Learning by building an AI agent from scratch to excel at Connect Four. What you'll learn Implement Tic-tac-toe and Connect Four in Python from scratch Understand the foundations of Reinforcement Learning (RL) Understand the basics of Deep Learning (DL) Handle the challenges combining RL and Dl into Deep Reinforcement Learning (DRL) Implement an artifical intelligent (AI) agent that plays Connect Four using DRL Develop AI agents for simple and complex games Build and optimize AI models in Python Understand heuristic approaches in implementing bots for games Requirements Basic programming knowledge: Familiarity with Python will help you follow along with the coding examples and exercises. However, we have a quick Python refresher with all the concepts that we will use later. Basic understanding of machine learning concepts: Some exposure to general machine learning principles is helpful but not required (like linear regression, training models, understanding data, etc). Familiarity with development tools: Having basic experience using an IDE (e.g., PyCharm) or Jupyter notebooks can streamline the coding process, but we will guide you on how to set these up and how to use them. For beginners, don't worry! We'll cover the essential concepts in reinforcement learning and neural networks, and you'll be able to follow along even with limited prior experience. No specialized equipment is required beyond a computer capable of running Python which we'll help you set up. Description Are you ready to elevate your AI skills by mastering Deep Reinforcement Learning (DRL) through an exciting project? Embark on a comprehensive journey into the world of DRL with our meticulously designed course, "The Deep Reinforcement Learning Guide to Connect Four." 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