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Free Download Udemy - CAN Protocol Training From Basic to Advanced Published: 2/2025 Created by: Soma Shekar Rage MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 37m ) | Size: 726 MB CAN protocol tutorial What you'll learn In depth understanding of CAN protocol from basic to Advance level you will be aware of all concepts of CAN protocol Frame types, Error mechanism, and summary of each topic after this course you will be able to answer CAN interview question easily Requirements English and little know how on Embedded systems Description CAN protocol is widely used in the automotive industry and in other domains also, this course is helpful for freshers and experienced people who want to pursue the career in the automotive industry. This course will cover all aspects of CAN protocol from automotive industry oriented. Most of Automotive companies are using CAN protocol for in vehicle communication between electronic control units. as an industry expert i can say learning CAN protocol is an added advantage to your career and personal growth.CAN is serial communication protocol will be used to communicate the nodes in network. and CAN has good error mechanism capability so that it is widely popular in the automotive. CAN protocol supports the speed from 500kbps to 1Mbps. this course also covers some of interesting topics such as frame types, Error frames, message filtering and bus off, error counters.In this course i have covered all the topics starting from basic to advance topics such bus off and message filtering concept with examples so that everyone can understand easily. This course does not required any pre requisites. After completing this course you will be able to answer CAN protocol related interview questions easily. Have a Great Learning. Who this course is for This course is suitable for Beginners and experienced who want to pursue or improve knowledge on the CAN protocol Homepage: https://www.udemy.com/course/can-protocol-training/ DOWNLOAD NOW: Udemy - CAN Protocol Training From Basic to Advanced Rapidgator Links Download https://rg.to/file/745470ee4becbaa258023378c31163e5/wuvsa.CAN.Protocol.Training.From.Basic.to.Advanced.rar.html Fikper Links Download https://fikper.com/XdeG66lh4g/wuvsa.CAN.Protocol.Training.From.Basic.to.Advanced.rar.html : No Password - Links are Interchangeable

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Free Download Udemy - Apache Cassandra Admin Essentials For Future DBA Published: 2/2025 Created by: Hy TecenerG MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 37m ) | Size: 1.74 GB Cassandra Up And Running What you'll learn Cassandra Architecture Installation And Configuration Of Cassandra Deploy A Cassandra Cluster CQL Basics And Essentials Backup, Restore And Recovery Data Migration Monitoring And Managing Cassandra Securing Cassandra Performance Tuning Requirements Laptop With Good Internet Connection Eager And Curious To Learn Description This comprehensive course provides an in-depth introduction to Apache Cassandra administration, equipping system administrators and database professionals with the skills necessary to manage and maintain large-scale, distributed databases. Apache Cassandra is an open-source NoSQL database designed for scalability, high availability, and performance, making it ideal for applications that require massive amounts of data and continuous uptime.The course covers the essential concepts of Cassandra architecture, installation, and configuration, followed by key operational topics such as backup and recovery, monitoring, security, and troubleshooting. Students will gain basic hands-on experience with installation, configuration, commands practice, protection and security of Cassandra while learning to deploy clusters effectively in on-premises environments. Participants will learn the architecture, configuration, and operational aspects of Cassandra, including how to design and manage a distributed database system.Key Topics Include:Introduction to NoSQL databases and CassandraCassandra architecture Installation and configuration of Cassandra clustersBackup and recovery strategiesMonitoring Cassandra Security best practices in CassandraDeploy ClustersThe course does not cover performance tuning, managing clusters, Cassandra in cloud etc and these topics will be covered in part 2.By the end of this course, participants will be equipped to administer and optimize Apache Cassandra databases in a single node, ensuring reliability in production environments. Who this course is for Database Administrators Database Developers Database Engineers Application Developers Software Engineers Cassandra Enthusiasts Homepage: https://www.udemy.com/course/apache-cassandra-admin-essentials-for-future-dba/ DOWNLOAD NOW: Udemy - Apache Cassandra Admin Essentials For Future DBA Rapidgator Links Download https://rg.to/file/1ba1119d20aa3c5b89d37b852ab4dc4a/aifxh.Apache.Cassandra.Admin.Essentials.For.Future.DBA.part1.rar.html https://rg.to/file/6a983cade37e4d8bc01e1091eb416b27/aifxh.Apache.Cassandra.Admin.Essentials.For.Future.DBA.part2.rar.html Fikper Links Download https://fikper.com/zMqdJy77gq/aifxh.Apache.Cassandra.Admin.Essentials.For.Future.DBA.part1.rar.html https://fikper.com/iThljEuSAS/aifxh.Apache.Cassandra.Admin.Essentials.For.Future.DBA.part2.rar.html : No Password - Links are Interchangeable

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Free Download Udemy - AWS Certified AI Practitioner (AIF-C01) By Chad Smith Released 3/2025 By Chad Smith MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5h 43m | Size: 1.51 GB Table of contents Introduction AWS Certified AI Practitioner (AIF-C01): Introduction Module 1: Exam Foundation Module Introduction Lesson 1: Exam Guide Learning objectives 1.1 Introduction 1.2 Target Candidate Description 1.3 Exam Content 1.4 Exam Question Domains Module 2: Fundamentals of AI and ML Module Introduction Lesson 2: Basic AI Concepts Learning objectives 2.1 Basic AI Terminology 2.2 Introduction to Machine Learning 2.3 Introduction to Deep Learning 2.4 Question Breakdown 1 2.5 Question Breakdown 2 Lesson 3: Practical Use Cases For AI Learning objectives 3.1 AI Patterns and Anti-patterns 3.2 ML Techniques 3.3 Real-world AI Applications 3.4 AWS Managed AI/ML Services 3.5 Question Breakdown 1 3.6 Question Breakdown 2 Lesson 4: ML Development Lifecycle Learning objectives 4.1 ML Pipeline Components 4.2 ML Model Sources and Deployment Types 4.3 Introduction to ML Ops 4.4 AWS ML Pipeline Services 4.5 ML Model Performance Metrics 4.6 Question Breakdown 1 4.7 Question Breakdown 2 Module 3: Fundamentals of Generative AI Module Introduction Lesson 5: Basic Concepts of Generative AI Learning objectives 5.1 Basic Generative AI Terminology 5.2 Generative AI Use Cases 5.3 Foundation Model Lifecycle 5.4 Question Breakdown 1 5.5 Question Breakdown 2 Lesson 6: Generative AI Capabilities and Limitations Learning objectives 6.1 Generative AI Advantages 6.2 Generative AI Disadvantages 6.3 Model Selection Decision Tree 6.4 Generative AI Business Value and Metrics 6.5 Question Breakdown 1 6.6 Question Breakdown 2 Lesson 7: AWS Generative AI Offerings Learning objectives 7.1 AWS Generative AI Services and Features 7.2 AWS Generative AI Advantages and Benefits 7.3 AWS Generative AI Cost Tradeoffs 7.4 Question Breakdown 1 7.5 Question Breakdown 2 Module 4: Applications of Foundation Models Module Introduction Lesson 8: Foundation Model Design Learning objectives 8.1 Pre-trained Model Selection Criteria 8.2 Model Inference Parameters 8.3 Introduction to RAG 8.4 Introduction to Vector Databases 8.5 AWS Vector Database Service 8.6 Foundation Model Customization Cost Tradeoffs 8.7 Generative AI Agents 8.8 Question Breakdown 1 8.9 Question Breakdown 2 Lesson 9: Foundation Model Performance Learning objectives 9.1 Foundation Model Performance Metrics and Evaluation 9.2 Foundation Model Business Objective Criteria 9.3 Question Breakdown 1 9.4 Question Breakdown 2 Lesson 10: Foundation Model Training and Fine Tuning Learning objectives 10.1 Foundation Model Training 10.2 Foundation Model Fine-tuning 10.3 Foundation Model Data Preparation 10.4 Question Breakdown 1 10.5 Question Breakdown 2 Lesson 11: Prompt Engineering Learning objectives 11.1 Prompt Workflow 11.2 Prompt Engineering Concepts 11.3 Prompt Engineering Techniques 11.4 Prompt Engineering Best Practices 11.5 Prompt Engineering Risks and Limitations 11.6 Question Breakdown 1 11.7 Question Breakdown 2 Module 5: Responsible and Secure AI Solutions Module Introduction Lesson 12: Responsible AI System Development Learning objectives 12.1 Responsible AI Features 12.2 AWS Responsible AI Tools 12.3 Responsible AI Model Selection Practices 12.4 Generative AI Legal Risks 12.5 AI Dataset Characteristics 12.6 AI Bias and Variance 12.7 AWS AI Bias Detection Tools 12.8 Question Breakdown 1 12.9 Question Breakdown 2 Lesson 13: Transparent and Explainable AI Models Learning objectives 13.1 Transparency and Explainability Definitions 13.2 AWS Transparency and Explainability Tools 13.3 AI Model Safety and Transparency Tradeoffs 13.4 Human-centered AI Design Principles 13.5 Question Breakdown 1 13.6 Question Breakdown 2 Lesson 14: AI Security Learning objectives 14.1 AWS AI Security Services and Features 14.2 Data Citations and Origin Documentation 14.3 Secure Data Engineering Best Practices 14.4 AI Security and Privacy Considerations 14.5 Question Breakdown 1 14.6 Question Breakdown 2 Lesson 15: AI Governance and Compliance Learning objectives 15.1 AWS Governance and Compliance Services 15.2 Data Governance Strategies 15.3 Governance Protocols and Compliance Standards 15.4 Question Breakdown 1 15.5 Question Breakdown 2 Summary AWS Certified AI Practitioner (AIF-C01): Summary DOWNLOAD NOW: Udemy - 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Free Download Udemy - 5G & AI for everyone Published: 2/2025 Created by: Rahul kaundal MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 54m ) | Size: 1.57 GB 5G & AI Overview, 5G Architecture, Use cases of AI, Machine learning, deep learning, Gen AI in telecom What you'll learn 5G Overview Artificial Intelligence Basics AI use in Telecom 5G Network Architecture Machine Learning & its implementation in Telecom Machine Learning Basics Supervised Learning Linear Regression Logistic Regression Requirements It is a course for everyone from beginner to expert level Description 5G, known as fifth generation, is a technology focused on providing better wireless connectivity in telecom domain by enabling -•Enhanced broadband (eMBB)•Massive machine to machine communication (MMTC)• Ultra reliable low latency communication (URLLC)AI and Machine learning is fueling the efficiency in Telecom with new use cases- including predictive analytics, network optimization, data-driven planning.1. Overview of 5GEvolution of Telecom TechnologiesWhat is 5G?Technical Capabilities of 5G5G Design Goals2. AI BasicsWhat is Artificial Intelligence (AI)?Case Study: How Siri WorksExample: Telecom Chatbots Leveraging AIWhat is Machine Learning (ML)?Example: Netflix Recommendation System & Telecom NetworksWhat is Deep Learning?How Facial Recognition WorksExample: Detecting KPI Deviations and Traffic SpikesWhat is Generative AI (GenAI)?Example: AI-Driven Predictive Use Cases in Telecom3. 5G ArchitectureOverview of Telecom Network ArchitectureBuilding Blocks of 5GRadio Access Network (RAN)Transport NetworkCore Network4. Machine Learning & its implementation in Telecom4.1 Machine Learning BasicsTypes of ML: Supervised, Unsupervised, ReinforcementML Use Cases in Telecom Networks4.2 Supervised LearningWhat is Supervised Learning ?Types of supervised learningUse of Supervised learning in Telecom4.3 Linear RegressionWhat is Linear RegressionHypothesisCost FunctionGradient DescentUse of linear regression in Telecom4.4 Logistic RegressionWhat is Logistic RegressionSigmoid Function Who this course is for Suitable for the engineers working in 5G and AI space or planning to get into technical domain of 5G and AI Suitable for Managers working in telecom operators and planning to deploy or manage 5G networks Suitable for beginners who are interested to get into telecom domain and learn new technology such as 5G and AI Homepage: https://www.udemy.com/course/5g-ai-for-everyone/ DOWNLOAD NOW: Udemy - 5G & AI for everyone Rapidgator Links Download https://rg.to/file/44f0255d73ee357f156d44c75529208c/nqamf.5G..AI.for.everyone.part1.rar.html https://rg.to/file/47e0ba825117fcb3659a6649668695f9/nqamf.5G..AI.for.everyone.part2.rar.html Fikper Links Download https://fikper.com/WrY2XEUU3l/nqamf.5G..AI.for.everyone.part1.rar.html https://fikper.com/UGgvHYTbbP/nqamf.5G..AI.for.everyone.part2.rar.html : No Password - Links are Interchangeable

Free Download Three.js Shading Language and Signed Distance Fields Published: 3/2025 Created by: Sean Bradley MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 6m ) | Size: 4.8 GB Learn all about the Three.js Shading Language while specialising in Signed Distance Fields. What you'll learn Threejs Shading Language Signed Distance Fields Using TSL with import maps or a build tool Setting up a development environment TSL imports or color, texture, convertColorSpace and positionLocal Writing Fragment and Vertex Shaders Generate patterns using fract, sin, cos, atan, floor, mod Drawing SDF lines and shapes in 2D and 3D Using Uniform and UniformArray Drawing distance lines Colouring 2D and 3D SDFs Raymarching Lighting 3D SDFs SDF Shadows SDF Reflections SDF Union, Intersect and Subtraction Requirements This is an intermediate course about Three.js and you should already have some experience using it. You will need a modern graphics card capable of running GLSL and WGSL shader code. Description Three.js Shading Language (TSL) is a framework built to simplify shader development within the Three.js ecosystem.Signed Distance Fields are a way to draw scenes and animations predominantly using mathematical functions.You can draw anything with Signed Distance Fields, and TSL makes that more accessible for developers, especially those without deep knowledge of low-level GLSL, WGSL or graphics programming.So, in the course, we will cover,Basic environment development setup,Importing the required libraries using import maps or a bundler / build tool,Discuss the pre-requisites of a TSL scene,Fragment Shader coordinates,Create several animated patterns from easy to more advanced,Draw various styles of lines,Implement Uniforms and UniformArray,Interact with our scenes using a GUI,Learn the basics of Signed Distance Fields,Draw distance lines using SDF information,Colouring and animating 2D SDFs,Learn the Basics of Raymarching,Lighting 3D SDFs using Lambertian, Ambient and Phong specular,Using Hard and Soft Shadowing,Implement SDF Reflections,Colouring and animating 3D SDFs.And moreBy using TSL's node-based shader graph system, developers can create and manage shaders without needing to write complex GLSL or WGSL code manually.TSL is renderer-agnostic, meaning shaders created with it work seamlessly across different rendering backends like WebGL and WebGPU.Since TSL is written at the Javascript or TypeScript layer, along side your existing Three.js code, you will be able to benefit from the features provided by your IDE, such as IntelliSense code completion, code formatting and linting. Your final production code can also benefit from tree shaking provided by your bundler.Thanks for taking part in my Three.js Shading Language (TSL) and Signed Distance Fields course.Sean Who this course is for People who have experience with Threejs and want to write shader code using the techniques of signed distance fields. Homepage: https://www.udemy.com/course/threejs-shading-language/ DOWNLOAD NOW: Three.js Shading Language and Signed Distance Fields Rapidgator Links Download https://rg.to/file/471ad70a23f084c18d00f1dbbef1662f/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part1.rar.html https://rg.to/file/0f1b35f63aaa8b7941dd086d38543bfb/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part2.rar.html https://rg.to/file/8a5b0840481da2a50cf96149401d7703/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part3.rar.html https://rg.to/file/83037ade7e61fc5fb4be197a9ffefaad/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part4.rar.html https://rg.to/file/ffea35cbdf03d9c51f5e9128a07298d1/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part5.rar.html Fikper Links Download https://fikper.com/eFCaJaYa9p/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part1.rar.html https://fikper.com/iBcYJ5jn42/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part2.rar.html https://fikper.com/elN22zcNTT/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part3.rar.html https://fikper.com/8NsCHYs5uG/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part4.rar.html https://fikper.com/StZUSQEN2T/sygfh.Three.js.Shading.Language.and.Signed.Distance.Fields.part5.rar.html : No Password - Links are Interchangeable

Free Download The Ultimate SQL Bootcamp - Go Zero to Hero in SQL Published: 3/2025 Created by: Unicliff Edutech MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 19h 56m ) | Size: 14.7 GB Become an expert at SQL! What you'll learn Use SQL to query a database Be confident in putting SQL and PostgreSQL on your resume Replicate real-world situations and query reports Use SQL to perform data analysis Learn to perform GROUP BY statements Requirements No prerequisites, you will learn everything from scratch Description Learn SQL fast and easy with this course!In this course, you'll quickly learn how to read and write complex database queries using PostgreSQL, one of the most popular and in-demand SQL tools. The skills you learn here can also be used with other major SQL databases like MySQL, Microsoft SQL Server, Oracle, Amazon Redshift, and more.Learning SQL is a great way to boost your career because it's one of the top tech skills companies are looking for. This course will help you learn quickly, with challenges and tests along the way to make sure you understand everything!Here's what you'll learn in this course:How to use PostgreSQL and PgAdmin, two of the most popular tools for working with SQL.The basics of SQL syntax (the rules for writing SQL code).How to analyze data with GROUP BY commands and aggregate functions.How to write advanced queries using string operations and comparison operations.How to use logical operators to add more complex conditions to your queries.The most common SQL JOIN commands.How to create tables and databases with rules to control the data.How to use Python to improve your SQL skills.And much more!This course puts you in control right from the start! You won't just watch someone else code-you'll set up and restore databases yourself. Every section includes challenges that help you practice real-world tasks.I have years of experience teaching both online and in-person at big companies, and this course combines the best methods for learning at your own pace. You'll start with the basics and soon be working with advanced SQL commands, like handling timestamps and character data, just like a pro.SQL is one of the most in-demand skills for business analysts, data scientists, and anyone working with data. So, level up your skills and add SQL to your resume by joining today! Who this course is for Anyone interested in learning more about SQL, PostgreSQL, or SQL for data analysis and data science! 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Free Download The Original Tai Chi Martial Art - Chen Style Old Form One Last updated: 3/2021 Created by: David Yao MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 77 Lectures ( 9h 11m ) | Size: 10.4 GB A traditional Kong Fu which combines mind, awareness and vital energy Qi to achieve mindfulness, relaxation and Fitness What you'll learn Chen Style Tai Chi Traditional Form One 74 Postures The Concept of Qi - inherent vital energy A system of deep breathing exercises. Self defense skills using Tai Chi Apply Tai Chi into sweating workout. To keep mental and physical fitness To achieve mindfulness and relaxation Requirements No, can be anyone without any basic Good for everyone No gear or special equipment needed Description Tai Chi or Shadow Boxing, another school of Kungfu in Chinese martial art culture, was born in Henan Province, 70km north to David Yao's native place.Tai chi, short for T'ai chi ch'üan or Tàijí quán (Chinese: 太极拳，太極拳; pinyin: Tàijí quán), is a traditional Chinese martial art which combines mind and awareness of our body, the deep diaphragmatic breathing and Qi, the inherent vital energy, through graceful movements to achieve mindfulness and relaxation. Tai chi is practiced for both its defense training, its health benefits and meditation.Qigong, qi gong, chi kung, or chi gung (simplified Chinese: 气功 qìgōng literally: "Life Energy Cultivation") is a holistic system of coordinated body posture and movement, breathing, and meditation used in belief it promotes health, spirituality, and martial arts training. Qigong practice typically involves moving meditation, coordinating slow flowing movement, deep rhythmic breathing, and calm meditative state of mind. Qigong can be viewed as a medicinal movement practice, combining breath work, relaxation, movement and self-massage all in one. In this courses, I will show you through breath control exercise and Tai Chi Skill to regain the peace of mind. Chen Style Traditional 74 Form LJ1 (陈氏太极拳老架一路 Chén shì tàijí quán lǎo jià yīlù Chen Style Tai Chi Traditional Form One; Chen Style Tai Chi Old Form Set One) is the foundation of all Chen Style Tai Chi which keeps the kicking, jumping and leaping movements which will apply in fighting. What makes Chen Style Tai Chi unique? It is 发力 fā lì, (releasing power; releasing power in explosive way), It integrates whole body power and keep body in a relax states when release the power in very short and explosive way. The hitting point can be fist, elbow or knee. This Fali is different with boxing or kickboxing. You can take some movements to practice in fast speed and this can be very good sweating workout for you. This will take you around 3 month to finish it. However, you can just take a single posture to practice.Tai Chi Strengthens Mind and BodyTai Chi's focus on posture and body placement may add benefits beyond what cardiovascular or resistance-training can provide. Tai Chi, a moving Yoga, does more than burn calories and tone muscles. It will enable you to gain flexibility and strength, reducing stress and allowing for greater relaxation. It's a total mind-body workout that combines strengthening and stretching poses with deep breathing and meditation or relaxation. The health benefits of tai chiThis gentle form of exercise can help maintain strength, flexibility, and balance, and could be the perfect activity for the rest of your life. Tai chi is often described as "meditation in motion, moving Yoga," which originated in China as a martial art. The Chen Style Tai chi is the oldest and parent form of the five traditional family styles of Tai chi. Chen-style is characterized by Silk reeling, alternating fast/slow motion and bursts of power. The Chen Style is Originated in Hen Nan Chen Jia Gou, 70 KM at north of David Yao's birth place.There is growing evidence that this mind-body practice, has value in treating or preventing many health problems. And you can get started even if you aren't in top shape or the best of health. In this low-impact, slow-motion exercise, you go without pausing through a series of motions. As you move, you breathe deeply and naturally, focusing your attention - as in some kinds of meditation - on your bodily sensations. Tai chi differs from other types of exercise in several respects. The movements are usually circular and never forced, the muscles are relaxed rather than tensed, the joints are not fully extended or bent, and connective tissues are not stretched. Tai chi can be easily adapted for anyone, from the most fit to people confined to wheelchairs or recovering from surgery. 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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." This course is tailored to guide you from foundational concepts to advanced applications, culminating in the creation of a proficient DRL player for the game of Connect Four.Course Highlights:Foundations of Reinforcement Learning: Begin with an in-depth exploration of tabular reinforcement learning using the classic game of Tic-Tac-Toe. Understand the core principles and methodologies that form the bedrock of Reinforcement Learning (RL).Transition to Complex Environments: Progress to the more intricate game of Connect Four, where you'll learn to implement heuristics to navigate the limitations of tabular methods.Introduction to Neural Networks: Dive into the realm of neural networks, focusing on their role as value approximation functions. You'll gain hands-on experience by constructing a neural network library from scratch using only NumPy, demystifying the mechanics behind these powerful models.Building a DRL Player: In the culminating chapter, integrate all acquired knowledge to develop a Deep Reinforcement Learning player for Connect Four. Despite utilizing a straightforward architecture with dense layers, your DRL agent will exhibit impressive gameplay capabilities.Why Enroll?Comprehensive Curriculum: Our course offers a structured learning path, ensuring a solid grasp of both theoretical concepts and practical implementations.Hands-On Projects: Engage in a project that uses deep reinforce learning and provide tangible outcomes, enhancing your portfolio.Expert Guidance: Benefit from clear, concise explanations and step-by-step instructions, making complex topics accessible.Who Should Enroll?This course is ideal for:Aspiring AI and machine learning enthusiasts seeking to delve into reinforcement learning.Developers aiming to enhance their skill set with advanced DRL techniques.Anyone with a passion for understanding the intricacies of AI through practical applications.Join us in this educational adventure and equip yourself with the skills to design and implement sophisticated DRL agents from the ground up. Enroll now to start your journey in building advanced AI agents! Who this course is for This course is designed for anyone interested in learning how to build AI agents using deep reinforcement learning. Aspiring AI developers: If you want to learn how to create AI models that can play games, make decisions, and optimize strategies, this course will guide you through step by step. Software developers and engineers: If you're looking to expand your skill set into AI, neural networks, and reinforcement learning, this course will help you build a solid foundation. Data scientists and machine learning enthusiasts: Those with an interest in reinforcement learning and its applications to game-playing AI, such as Tic-Tac-Toe and Connect Four, will find this course practical and engaging. Students and academics: If you're studying computer science, machine learning, or AI, this course offers practical examples and hands-on coding experience to reinforce theoretical knowledge. Beginners to AI and neural networks: Even if you have limited experience with AI or Python programming, this course is designed to ease you into these topics and help you understand how AI agents learn through reinforcement learning. Whether you are looking to strengthen your knowledge of AI algorithms or explore how deep reinforcement learning can be applied to real-world scenarios, this course provides valuable insights and practical experience. 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Free Download Stock Trading Mastery - Analysis & Algorithmic Coding Published: 2/2025 Created by: George S Junior MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 59 Lectures ( 8h 38m ) | Size: 3.66 GB From Market Analysis to Algorithmic Execution - A Complete Guide What you'll learn Students will Learn Fundamental Analysis, master the evaluation of financial statements, economic indicators, and market trends to access a stock's true value Students will gain understanding of Technical Analysis, learn chart interpretation, indicators, and patterns to identify profitable trading opportunities. Students will learn algorithmic trading to automate trading strategies using Python to enhance decision making and trade efficiency. Students will be equipped with the skills to analyze markets effectively and implement algorithmic strategies to optimize their trading performance. Requirements No prior knowledge required; the course will guide students step-by-step from the basics of financial markets to advanced algorithmic trading concepts. Description Stock Trading Mastery: Analysis & Algorithmic Coding.Master Technical & Fundamental Analysis with Python Automation.Are you ready to take your trading skills to the next level? Whether you're a beginner or an experienced trader, this course will provide you with a complete roadmap to mastering financial markets-combining technical analysis, fundamental analysis, and algorithmic trading with Python.What You'll Learn:Technical Analysis Mastery - Learn price action strategies, chart patterns, indicators, and volume analysis to make data-driven trading decisions.Fundamental Analysis Demystified - Evaluate stock valuation, macroeconomic indicators, financial statements, and company performance to identify market opportunities.Algorithmic Trading in Python - Automate trading strategies, build indicators, backtest strategies, and optimize your trading execution.Stock, Forex, and Crypto Strategies - Gain insights into multi-market trading with proven strategies that work across different asset classes.Risk Management & Trade Execution - Minimize risks and maximize profits with advanced money management techniques.Why Take This Course?Comprehensive & Practical - Covers both traditional and algorithmic trading for real-world applications.Hands-On Python Coding - Step-by-step coding tutorials for automated trading, indicators, and strategy backtesting.Data-Driven Approach - Learn how to leverage financial data, economic reports, and market trends to gain an edge.Full Lifetime Access - Learn at your own pace with downloadable resources and Python scripts.Who Is This Course For?Traders who want to improve their trading edgeInvestors looking to understand market analysis and automationPython programmers interested in financial market applicationsAnyone who wants to learn how to analyze, automate, and optimize trading strategiesBy the end of this course, you will have the skills to confidently analyze markets, create your own trading strategies, and automate them using Python.Enroll now and start your journey to trading mastery! Who this course is for Individuals with little to no enxperience who want to understand how financial markets work and build a strong foundation in trading strategies. Traders interested in automating their strategies using python to enhance decision-making and efficiency. Traders who want to enhance their manual trading techniques with algorithmic automationm. Those looking to back test strategies, optimize their trades, and gain insights through data-driven analysis. Homepage: https://www.udemy.com/course/stock-trading-mastery-analysis-algorithmic-coding/ DOWNLOAD NOW: Stock Trading Mastery - Analysis & Algorithmic Coding Rapidgator Links Download https://rg.to/file/3c37a7532cb0252c909aed31e452ba63/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part1.rar.html https://rg.to/file/5fcb60fb4c7d16ba9fc85b1a103a9699/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part2.rar.html https://rg.to/file/60e00bcfd3da0d4cb0db05e68800599d/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part3.rar.html https://rg.to/file/4da07edb75c0bddfee095db5c188e669/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part4.rar.html Fikper Links Download https://fikper.com/Due154NCOL/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part1.rar.html https://fikper.com/6RUiS4EYEq/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part2.rar.html https://fikper.com/rmGDLZoghM/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part3.rar.html https://fikper.com/ama2fooWeL/hlfdp.Stock.Trading.Mastery.Analysis..Algorithmic.Coding.part4.rar.html : No Password - Links are Interchangeable

Free Download Solving the 3x3 Rubik's Cube for the ABSOLUTE Beginner! Published: 2/2025 Created by: Jonathan Reichert MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 54m ) | Size: 1.2 GB Learn how to solve a 3x3 Rubik's Cube, with the easiest possible method! What you'll learn Understand the Basics - Learners will grasp the fundamental structure of a 3x3 Rubik's Cube, including its pieces, movements, and notation.. Master a Beginner-Friendly Solving Method - Learners will be able to follow a step-by-step approach to solving the cube using an easy-to-learn method. Develop Pattern Recognition - Learners will recognize key cube patterns and apply the correct algorithms to solve each stage efficiently. Solve the Cube Independently - By the end of the course, learners will confidently solve a scrambled Rubik's Cube on their own, without external guides. Requirements No experience required. A 3x3 Rubik's Cube is required in order to practice the content of this course. Description Master the 3x3 Rubik's Cube: The Absolute Beginner's Guide to Solving in Simple StepsHave you ever picked up a Rubik's Cube and thought, Where do I even begin? If so, this course is for you! Designed specifically for absolute beginners, this step-by-step guide will take you from never having solved a cube before to confidently completing it. Don't forget to pickup a standard 3x3 Rubik's Cube to work with!In this course, you'll learn a beginner-friendly method that breaks the solving process into simple, easy-to-follow steps. You don't need to spend hours getting frustrated-my approach focuses on understanding the cube's mechanics and developing muscle memory through guided practice and repetition, at a laid-back pace.This course is perfect for:Anyone who has never solved a Rubik's Cube beforePeople who have tried but felt stuck or overwhelmedKids, teens, and adults who want a fun and rewarding challengeBy the end of this course, you'll be able to pick up any standard 3x3 Rubik's Cube and solve it with confidence. No prior experience is needed-just bring your cube and your curiosity! Jonathan offers a very relaxes pace, with lot's of encouragement!Let's get started and unlock the mystery of the Rubik's Cube together! Who this course is for This course is designed for absolute beginners who want to learn how to solve a 3x3 Rubik's Cube step by step. It is perfect for: Complete beginners who have never solved a Rubik's Cube before and feel overwhelmed by where to start. Casual puzzle enthusiasts who want to develop a fun and rewarding skill. Parents and educators looking for a simple method to teach kids how to solve the cube. A great task for students and hobbyists interested in improving problem-solving, memory, and spatial reasoning skills. Homepage: https://www.udemy.com/course/solving-the-3x3-rubiks-cube-for-the-absolute-beginner/ DOWNLOAD NOW: Solving the 3x3 Rubik's Cube for the ABSOLUTE Beginner! Rapidgator Links Download https://rg.to/file/20acd32345f6f8df70d08d807aa3dd26/tinxs.Solving.the.3x3.Rubiks.Cube.for.the.ABSOLUTE.Beginner.part1.rar.html https://rg.to/file/81183e70a56f50b5f72e4457c9376003/tinxs.Solving.the.3x3.Rubiks.Cube.for.the.ABSOLUTE.Beginner.part2.rar.html Fikper Links Download https://fikper.com/GOREfc3n8J/tinxs.Solving.the.3x3.Rubiks.Cube.for.the.ABSOLUTE.Beginner.part1.rar.html https://fikper.com/KskD0v545n/tinxs.Solving.the.3x3.Rubiks.Cube.for.the.ABSOLUTE.Beginner.part2.rar.html : No Password - Links are Interchangeable

Free Download Shader Development from Scratch with Cg - Unity 6 Compatible Last updated: 2/2025 Created by: Penny de Byl,Penny Holistic3D MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 79 Lectures ( 10h 26m ) | Size: 7.66 GB Learn to program the graphics pipeline in Unity for creating unique visual surfaces for game objects. What you'll learn Use Unity Shaderlab to create their own shader effects with CG/HLSL. Apply their knowledge of simple mathematics to change the visual surface of virtual objects. Work with mesh vertices and textures to develop unique rendering effects. Demonstrate a knowledge of the graphics pipeline and apply it to problem solving shading issues. Requirements You should be familiar with the Unity Game Engine. You should be able to program in a procedural language such as C#. Description Now Updated for Unity 2017 to Unity 6!This course presents a comprehensive guide to programming with Cg and High Level Shader Language in Unity's Shaderlab, to create your own visual surface effects for colouring and lighting game objects. It covers the mathematics of light and surfaces and steps you through the recreation of some of the most popular shaders. Many computer graphics concepts will be presented to help you understand the graphics pipeline and provide you with an essential toolkit of rendering knowledge, that will have you developing your own transparent, animated and texturised shaders in no time.In this course, Penny teaches all the invaluable skills you will require to program the computer graphics pipeline in Unity from scratch using her internationally acclaimed teaching style and knowledge from over 25 years working with games and graphics. But hold on tight as you'll be taken on a journey across the computer graphics realm as it is taught to post-graduate university students. Through detailed Descriptions and hands-on workshops examining all you need to know about rendering queues, vector mathematics, graphics buffers, colour theory, 3D meshes, texture mapping, lighting models and much more.Learn how to program and work with:variables and packed arraysmeshes, vertices and UVsthe mathematics for working with objects in 3D and 2D spacesa variety of lighting models from creating flat shaded objects to highly reflective shiny surfacesbump maps for adding extra depth and dimension to surface texturesspecial effects such as holographic, scrolling textures and surface deformationsthe variety of graphics buffers used in the rendering pipelineforward and deferred lightingsurface, vertex and fragment shaders written in CG/HLSLvolumetric renderingContents and OverviewAfter diving right in and creating your very first shader from scratch, we will begin the lessons by examining how 3D models are structured and how that is used within shader code to colour and display the surface in computer graphics. You'll discover all the properties of a shader and how they can be controlled in code and via values fed in through Unity's Inspector.Following this, we will examine a variety of lighting models and how lights and surface textures can influence the final look of a render. Included here, an Overview of the buffers involved in the rendering queue will be given with practical examples for creating special effects that require more than one draw call. Students will also be exposed to the power of vector mathematics and especially the dot product and its role in creating beautiful effects such as outlines, rim lighting and holograms. 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