Videos de machine learning
Videos etiquetados con "machine learning"
machine learning 66 videos
Machine Learning Algorithms & Models Explained | Complete 2026 Guide
Master the core machine learning algorithms and models. This guide covers supervised learning, unsupervised learning, ensemble methods and neural networks. After this video, you will be able to distinguish between classification and regression, understand how boosting and bagging models function and identify the correct neural network architecture for your data tasks. We break down complex concepts into practical frameworks for IT professionals. Join our WhatsApp community for more IT resources and updates. Chapters: 00:00 Intro 01:05 Machine Learning 01:09 Supervised Learning - Supervised Learning 01:31 Classification 01:42 Regression - Linear Regression 01:47 Regression - Polynomial Regression 01:50 Regression - Lasso 01:54 Regression - Ridge 01:56 Unsupervised Learning - Unsupervised Learning 02:20 Clustering 02:30 Pattern Search - Apriori 02:32 Pattern Search - ECLAT 02:37 Pattern Search - FP-Growth 02:41 Dimensionality Reduction 02:51 Dimensionality Reduction (cont.) 02:55 Statistical Inference 03:00 Ensemble Models - Ensemble Models 03:18 Ensemble Models - Boosting 03:33 Ensemble Models - Bagging 03:46 Reinforcement Learning 03:57 Neural Networks - Neural Networks (part 1) 04:15 Neural Networks - Neural Networks (part 2) 04:26 Neural Networks - Recurrent Neural Networks (RNN) 04:36 Machine Learning Algorithms & Models Overview - Machine Learning (part 1) 04:50 Machine Learning Algorithms & Models Overview - Machine Learning (part 2) 🎓 Join this channel to get access to perks: 🔗 https://www.youtube.com/channel/UCG5i5RvlRtUf2XJUzHw6pyg/join 🖥️ Join on Whatsapp: https://bit.ly/whatsapp-learnitguide 🚀 Boost Your Tech Skills with Our Full Course Playlists: 📦 Kubernetes Full Course: https://bit.ly/kubernetes-full-tutorial-videos 🛠️ DevOps Tutorial & Training: https://bit.ly/devops-full-tutorial-videos ▶️ Terraform Tutorial & Training: https://bit.ly/terraform-full-tutorial-videos 🎭 Puppet Tutorial & Training: https://bit.ly/puppet-full-tutorial-videos 📜 Ansible Tutorial & Training: https://bit.ly/ansible-full-tutorial-videos 🐳 Docker Tutorial & Training: https://bit.ly/docker-full-tutorial-videos 🔧 Jenkins Tutorial & Training: https://bit.ly/jenkins-full-tutorial-videos 🐍 Python Programming Tutorial & Training: https://bit.ly/python-full-tutorial-videos ☁️ Cloud Computing Tutorial & Training: https://bit.ly/cloud-computing-full-tutorial-videos 🌐 Openstack Tutorial & Training: https://bit.ly/openstack-full-tutorial-videos 🖧 Clustering Tutorial & Training: https://bit.ly/clustering-full-tutorial-videos 📡 VCS Cluster Tutorial & Training: https://bit.ly/vcs-clustering-full-tutorial-videos 🐧 Ubuntu Linux Tutorial & Training: https://bit.ly/ubuntu-full-tutorial-videos 🎓 RHCSA and RHCE Tutorial & Training: https://bit.ly/rhce-linux-full-tutorial-videos 🖥️ Linux Tutorial & Training: https://bit.ly/linux-full-training-videos ☕ Support My Work: ☕ Buy me a Coffee: https://buymeacoffee.com/learnitguide 📌 Subscribe for More DevOps & Cloud Tutorials We have uploaded free tutorials on Git, Docker, Jenkins, Kubernetes, Terraform, OpenStack and more. 🔔 Subscribe to our channel @Learnitguide for more updates & hit the 🔔 bell icon! 📺 YouTube: https://bit.ly/learnitguide 📘 Facebook: http://www.facebook.com/learnitguide 🐦 Twitter: http://www.twitter.com/learnitguide 💬 Telegram: https://t.me/learnitguidetutorials 📱 Whatsapp: https://bit.ly/whatsapp-learnitguide 🔗 LinkedIn: https://bit.ly/linkedin-learnitguide 🌐 Website: https://www.learnitguide.net 🔔 Subscribe for AI, career strategy, future tech & skill roadmaps. #MachineLearning #Algorithms #NeuralNetworks #SupervisedLearning #DataScience #AI #LearnITGuide #techtutorial how machine learning models work step-by-step overview step-by-step 2026 overview machine learning algorithms machine learning models supervised learning unsupervised learning neural networks ensemble models reinforcement learning classification vs regression learnitguide machine learning ai it professional machine learning tutorial 2026 machine learning explained supervised learning tutorial unsupervised learning explained neural networks explained
045 | TAO Performance Network (SN65): LLM Compression on Bittensor TAO
🔴 LIVE — In this livestream, we sit down with Mentor, co-founder of TAO Performance Network (SN65), to discuss one of the most significant pivots in the Bittensor ecosystem. Originally focused on decentralized VPN infrastructure, TPN is now evolving into Bittensor’s LLM compression and optimization engine—helping make powerful AI models smaller, faster, cheaper, and accessible on everyday hardware. We dive into the massive challenge facing the AI industry today: frontier models are becoming increasingly expensive to run, often requiring specialized hardware and millions of dollars in cloud infrastructure. TPN aims to solve this by creating a decentralized competition where miners race to compress, quantize, prune, distill, and optimize large language models while preserving as much intelligence and performance as possible. We explore how the subnet works, how users can submit optimization requests tailored to specific hardware constraints, and why a distributed network of competing miners may outperform traditional centralized AI teams when it comes to model optimization. We also discuss the growing demand for local AI, private inference, AI agents, edge computing, and why efficient models may become just as important as the models themselves. This conversation covers the future of AI infrastructure, the economics of model compression, and how TPN is positioning itself as a critical piece of the Bittensor ecosystem by making advanced AI usable everywhere. ⚡ Like, Comment, and Subscribe to stay updated on the latest in crypto trends, market updates, and investment opportunities. Don’t forget to hit the bell icon 🔔 so you won’t miss any future updates! Disclaimer: This video is for informational purposes only and should not be taken as financial advice. Always do your own research before making any investment decisions. #bittensor #tao #bittensortao #sn65 #taoperformancenetwork #llmcompression #aicompression #contextcompression #artificialintelligence #decentralizedai #cryptoai #machinelearning #aimodels #opensourceai #aiblockchain #taosubnets #bittensorsubnet
What Is a Large Language Model? (LLMs Explained From Zero)
Try it yourself — the full written explainer and an interactive next-word predictor are here: https://unrote.com/ai/what-is-an-llm/ A large language model sounds mysterious, but underneath it's one simple idea: a giant math function that, given some text, predicts the most likely next chunk of text — then feeds its own guess back in and does it again. That loop, repeated, is the whole engine. This is a build-from-zero explainer. No jargon assumed. We start with the autocomplete on your phone, watch a model generate a sentence one word at a time with real probabilities, and end up understanding why it can sound brilliant and still be confidently wrong. What we cover: - Why an LLM is really just autocomplete, scaled up enormously - Predict, append, repeat — how it writes one token at a time - Why it works in tokens (chunks), not whole words - Where the skill comes from: training on a huge pile of text - Why "Large" matters — billions of parameters - Why it doesn't actually "know" anything, and why that causes hallucinations - Why doing one simple thing well, at scale, ends up looking like intelligence Chapters: 0:00 What a large language model is 0:26 The whole thing in one sentence 0:44 Read the name backwards: L, L, M 1:03 It's autocomplete you already use 1:42 Watch it predict, word by word 2:36 It works in tokens, not words 2:59 Where the skill comes from: training 3:45 Why "Large" matters 4:10 It doesn't know — it predicts 4:33 So why does it feel intelligent? 4:58 Where this goes next 5:21 Recap This is the first video in an AI series on Unrote — modern AI explained from zero, one idea per page. Up next: What Are Tokens? Unrote. Understand it, don't memorize it.
Write Your First AI LLM Call with LangChain & Groq
Here's a YouTube description optimized for beginners, searchability, and engagement: 🚀 Welcome to LangChain for Beginners! In this first video of the series, you'll learn how to make your very first LLM call using LangChain and the Groq API. We'll start with the fundamentals of chat models, understand how messages work, create a ChatGroq model, send prompts to an LLM, and inspect the response returned by the model. By the end of this tutorial, you'll understand the core interaction pattern used throughout LangChain: Messages → Model → Response 📚 What You'll Learn: ✅ What a chat model is ✅ SystemMessage vs HumanMessage ✅ How to connect LangChain to Groq ✅ Creating your first ChatGroq model ✅ Using invoke() to call an LLM ✅ Understanding AIMessage responses ✅ Exploring response metadata and token usage 🔗 Code Covered: • Loading environment variables with python-dotenv • Creating a ChatGroq model • Building conversations with messages • Making your first LLM request • Reading model responses This video is part of the LangChain for Beginners series, where we'll gradually build toward prompt templates, chains, LCEL, embeddings, RAG applications, tools, and AI agents. ⏱️ Chapters 00:00 Introduction 00:45 How Chat Models Work 02:10 Loading Environment Variables 03:15 Creating a ChatGroq Model 05:20 Understanding Messages 07:40 Invoking the Model 09:15 Reading Responses 10:30 Response Metadata Explained 12:00 Recap 💡 If you found this video helpful, consider liking the video and subscribing for more AI Engineering, LangChain, RAG, Agentic AI, and LLM tutorials. #LangChain #LLM #AIEngineering #GenerativeAI #Python #Groq #AIAgents #MachineLearning #ArtificialIntelligence #RAG #PromptEngineering
AI vs Machine Learning vs Deep Learning: What’s the Difference?
AI vs Machine Learning vs Deep Learning: What’s the Difference? Artificial Intelligence, Machine Learning, and Deep Learning are among the most talked-about technologies today, but many people use these terms interchangeably. The reality is that Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are related but fundamentally different concepts. In this video, you’ll learn the difference between AI vs Machine Learning vs Deep Learning, how they work, where they overlap, and why understanding these technologies is essential for professionals, students, business leaders, and anyone interested in the future of technology. We’ll break down complex concepts into simple language and explore real-world examples such as ChatGPT, self-driving cars, recommendation systems, fraud detection, predictive analytics, computer vision, and generative AI. In This Video ✅ What is Artificial Intelligence (AI)? ✅ What is Machine Learning (ML)? ✅ What is Deep Learning (DL)? ✅ AI vs Machine Learning vs Deep Learning Explained ✅ Key Differences Between AI, ML, and DL ✅ Real-World Applications of AI, ML, and DL ✅ How ChatGPT Uses AI and Deep Learning ✅ Machine Learning Examples in Business ✅ Deep Learning Examples in Everyday Life ✅ The Future of Artificial Intelligence AI vs ML vs DL Explained Artificial Intelligence is the broader concept of machines performing tasks that normally require human intelligence. Machine Learning is a subset of Artificial Intelligence that enables systems to learn from data without being explicitly programmed. Deep Learning is a specialized subset of Machine Learning that uses neural networks to solve complex problems such as image recognition, speech recognition, natural language processing, and generative AI. Understanding the relationship between Artificial Intelligence, Machine Learning, and Deep Learning is critical for anyone looking to build future-ready skills in the AI era. Real-World Examples Covered * ChatGPT and Generative AI * Recommendation Engines * Self-Driving Cars * Voice Assistants * Fraud Detection Systems * Predictive Analytics * Image Recognition * Facial Recognition * Supply Chain Forecasting * Business Intelligence Systems Who Should Watch? * Working Professionals * Business Leaders * Managers * Students * MBA Aspirants * Data Analysts * Supply Chain Professionals * Operations Managers * Technology Enthusiasts * Anyone Interested in Artificial Intelligence Related Topics * Artificial Intelligence Explained * Machine Learning Explained * Deep Learning Explained * Generative AI * Large Language Models (LLMs) * ChatGPT Explained * Neural Networks * Data Science * AI in Business * AI for Professionals * AI in Supply Chain * Future of Work * AI Career Skills Hashtags #ArtificialIntelligence #MachineLearning #DeepLearning #AI #ML #DL #GenerativeAI #ChatGPT #AIExplained #MachineLearningExplained #DeepLearningExplained #Upstratica High-SEO Keywords AI vs Machine Learning vs Deep Learning, artificial intelligence vs machine learning, machine learning vs deep learning, AI vs ML vs DL, what is artificial intelligence, what is machine learning, what is deep learning, AI explained, machine learning explained, deep learning explained, artificial intelligence explained, neural networks, generative AI, ChatGPT explained, AI for professionals, machine learning for beginners, deep learning tutorial, AI applications, AI use cases, AI in business, AI in supply chain, future of AI, artificial intelligence tutorial ⸻ 🚀 Subscribe to Upstratica for practical insights on Artificial Intelligence, Supply Chain Management, Operations Excellence, Business Transformation, and the Future of Work. Suggested Chapters 00:00 Introduction 01:12 What is Artificial Intelligence (AI)? 03:40 What is Machine Learning (ML)? 06:25 What is Deep Learning (DL)? 09:15 AI vs Machine Learning vs Deep Learning 12:40 Real-World Examples 15:20 How ChatGPT Uses AI & Deep Learning 17:45 Future of AI 19:00 Key Takeaways Additional Search Queries artificial intelligence vs machine learning vs deep learning, difference between AI and machine learning, difference between machine learning and deep learning, AI vs ML explained, deep learning for beginners, machine learning for beginners, artificial intelligence for beginners, how ChatGPT works, neural networks explained, AI technology explained, AI concepts for professionals, generative AI explained, AI fundamentals, machine learning applications, deep learning applications This description is optimized around the exact-match keyword “AI vs Machine Learning vs Deep Learning” while also targeting related searches such as AI explained, Machine Learning explained, Deep Learning explained, ChatGPT explained, and Generative AI, which generally helps push VidIQ optimization into the higher range.
AI Family Tree Explained: Machine Learning, LLMs & AI Agents
AI Family Tree Explained: Machine Learning, LLMs & AI Agents Artificial Intelligence is evolving rapidly, but understanding how different AI technologies connect can be confusing. In this video, we break down the AI Family Tree and show how Machine Learning, Deep Learning, Neural Networks, Large Language Models (LLMs), Generative AI, and AI Agents are related. Whether you're a beginner, student, developer, business owner, or AI enthusiast, this guide will help you understand the complete AI ecosystem in a simple and visual way. 📌 In This Video: ✅ What Artificial Intelligence (AI) really is ✅ Machine Learning vs Deep Learning ✅ How Neural Networks work ✅ Understanding Large Language Models (LLMs) ✅ Generative AI and AI Agents explained ✅ The relationship between modern AI technologies ✅ Future trends in Artificial Intelligence This video is perfect for anyone interested in AI, Machine Learning, ChatGPT, Claude AI, Generative AI, AI Agents, Data Science, and emerging technology trends. Link to Artifact: https://claude.ai/public/artifacts/64a6f673-a4e2-4f9b-90d5-b7c7984646ef 🔔 Subscribe for more AI tutorials, technology insights, and practical guides. #AI #ArtificialIntelligence #MachineLearning #DeepLearning #LLM #AIAgents #GenerativeAI #ChatGPT #AITutorial #Technology
Will AI Take Your Job? Here's the Real Truth
Are you worried AI might take your job? Let’s uncover the real truth behind this emerging phenomenon! In this video, I break down how AI is reshaping the workforce and transforming career options in technology. Yes, some jobs are at risk, but here’s the exciting part: AI is creating a wave of new opportunities that combine human creativity with cutting-edge technology. From AI interpreters to augmented creatives, learn about five surprising careers born from this technological revolution. Here’s what you’ll discover: - The truth about which jobs are most vulnerable to AI-driven automation. - Exciting new roles like AI trainers, AI ethicists, and implementation specialists. - Practical steps to future-proof your career and thrive in the age of AI. - Why the future of work is about human-AI collaboration, not competition. The future isn’t about being replaced; it’s about becoming irreplaceable. Whether you’re curious about space travel, technological isolation, or digital innovation, this video will help you navigate the next chapter of work with confidence. 🌟 Don’t forget to like this video and subscribe for more insights into the future of work, technology trends, and career guidance. Let’s build the future together! 🌟 #ai #future #machinelearning #artificialintelligence #softwareengineering CHAPTERS: 00:00 - The AI Job Apocalypse 01:28 - Jobs AI is Replacing: Uncomfortable Truth 05:17 - From Replaced to Irreplaceable: The Pivot 07:34 - Hidden Job Market: 5 New Careers by AI 12:57 - Your Action Plan for the Future 16:42 - Conclusion: Embracing Change
How to Choose the Best AI Image Generator (Midjourney vs DALL-E vs Stable Diffusion) (2026)
In this video: How to Choose the Best AI Image Generator (Midjourney vs DALL-E vs Stable Diffusion) (2026) Subscribe and hit the bell for new videos every week! 🔗 TOOLS & RESOURCES: • Claude AI (free): https://claude.ai • ChatGPT: https://chat.openai.com • Canva (free — join link): https://www.canva.com/join/myv-gzr-ptz • Notion (free): https://notion.so • Zapier (free tier): https://zapier.com • NordVPN (67% off): https://go.nordvpn.net/aff_c?offer_id=15&aff_id=823d06043aa7fa9cfa5d7c3185cc204b99c104c7412d135e41dcb31207afe3b7 • SafetyWing Insurance: https://safetywing.com/?referenceID=26525115&utm_source=26525115&utm_medium=Ambassador • Hostinger (web hosting): https://www.hostinger.com/it?REFERRALCODE=KZXALF199EZ9 📥 FREE DOWNLOAD — AI Tools Cheat Sheet 2026: https://scalabletools.gumroad.com/l/oruyf 🚀 Want AI to run your entire business? Try S.C.A.L.A.: https://get-scala.com/?utm_source=youtube&utm_medium=aitoollab&utm_campaign=video 📧 Sponsorships & collabs: sponsor@get-scala.com ━━━━━━━━━━━━━━━━━━━━━ 🔔 Subscribe for daily AI tool reviews! 👍 Like this video if it helped you! ━━━━━━━━━━━━━━━━━━━━━ #AITools #AI #Productivity #AI2026 #TechReview #productivity #tutorial #2026
How AI Imagines: Diffusion Models Explained
How does an AI turn pure noise into a photorealistic image? This video breaks down Diffusion Models from scratch — the technology behind Stable Diffusion, Midjourney, and DALL-E — explained simply with flat vector visuals. ⚠️ Visuals in this video are AI-generated for educational purposes. ⏱️ CHAPTERS 00:00 — AI Starts With Pure Noise 00:22 — How the Model Actually Learns 00:44 — How Text Controls the Image 01:06 — The U-Net Architecture Explained 01:28 — Latent Space and Stable Diffusion 01:50 — ControlNet and Artistic Precision 02:12 — Beyond Images — Video, Audio and Medicine 02:34 — The Artist Controversy 03:10 — What's Coming Next 🔔 Subscribe for more AI explained simply. #DiffusionModels #StableDiffusion #AIArt #AIExplained #ArtificialIntelligence #MachineLearning #Midjourney #DALLE #HowAIWorks #AIForBeginners
La IA ya está destruyendo empleos (y nadie está preparado)
¿Está la inteligencia artificial destruyendo empleos ahora mismo? La respuesta es sí. En este documental de TecnoEconomía Lab analizamos cómo la automatización está reemplazando tareas cognitivas repetitivas en administración, traducción, atención al cliente y más. No es ciencia ficción. Ya está ocurriendo. Descubre por qué esta vez es diferente a la revolución industrial y qué pasa cuando el 30% de tu trabajo puede hacerlo una IA. Hablamos del problema económico que nadie quiere discutir: ¿quién consumirá si millones pierden ingresos? ⏱️ 15 minutos que cambiarán cómo ves el futuro del trabajo. 🔔 Suscríbete para más análisis económico y tecnológico. 📌 Capítulos: 0:00 - El escenario que ya vivimos 6:00 - Ejemplos reales por profesión 10:30 - Del problema individual al económico 15:00 - La paradoja del consumo 18:30 - Quién controla la IA 22:00 - Los tres futuros posibles #IA #Empleo #Automatización #FuturoDelTrabajo #TecnoEconomía #IA #Empleo #Automatización #FuturoDelTrabajo #InteligenciaArtificial #Economía #Tecnología #ChatGPT #Trabajo #Robotización #Desempleo #Futuro #Innovación #AI #MachineLearning
LLMs Explained in 20 Minutes | The Transformer Behind ChatGPT, Gemini & Claude
🚀 LLMs Explained in 10 Minutes | The Transformer Behind ChatGPT, Gemini & Claude Ever wondered how ChatGPT, Gemini, Claude, and other AI assistants actually work? In this video, we'll break down Large Language Models (LLMs) in the simplest way possible. You'll learn how AI evolved from traditional neural networks to the revolutionary Transformer Architecture, the breakthrough that powers modern AI. We'll also explore the Attention Mechanism, the core idea that allows LLMs to understand context, focus on important words, and generate human-like responses. What You'll Learn ✅ What is an LLM (Large Language Model)? ✅ Why RNNs struggled with long context ✅ How Transformer Architecture works ✅ What is the Attention Mechanism? ✅ Why Transformers changed AI forever ✅ How ChatGPT, Gemini, and Claude generate responses ✅ The foundation behind modern Generative AI Whether you're a student, developer, cloud engineer, AI enthusiast, or preparing for AI interviews, this video will help you understand the fundamentals of LLMs without complicated math. 🔥 If you enjoy AI, Generative AI, Agentic AI, Google Cloud, Gemini, MCP, and modern AI architectures, make sure to subscribe for more content. #LLM #ChatGPT #Gemini #Claude #Transformer #GenerativeAI #ArtificialIntelligence #MachineLearning #AIExplained #TechTrapture Playlists Google Agent Development Kit (ADK) https://www.youtube.com/playlist?list=PLLrA_pU9-Gz2HwepRUVpq1TEPuYWo_fSi Learn Airflow https://www.youtube.com/playlist?list=PLLrA_pU9-Gz3i8qw6yakrfJzx75W_vVaH Learn Google Cloud in 2025 https://youtube.com/playlist?list=PLLrA_pU9-Gz2OnBoICkewd9-Fc9Mi0nm7&si=8kkB3ct5wDHCMkoi Data Engineering Hands-on Projects https://www.youtube.com/playlist?list=PLLrA_pU9-Gz2DaQDcY5g9aYczmipBQ_Ek Looking to get in touch? Drop me a line at vishal.bulbule@techtrapture.com Linkedin https://www.linkedin.com/in/vishal-bulbule/ Medium Blog https://medium.com/@VishalBulbule Github Source Code https://github.com/vishal-bulbule
Day - 03 : GEN AI + LLM + RAG + Agentic AI Overview by Mr. Ashok
Artificial Intelligence is changing the way software applications are built. In this session, Mr. Ashok explains the most important AI concepts every student and developer should know. In this video, you will learn: ✅ What is Generative AI? ✅ What are Large Language Models? ✅ How RAG works in real-time applications ✅ What is Agentic AI? ✅ Difference between LLM, RAG, and AI Agents ✅ Real-world use cases of Gen AI ✅ Career opportunities in AI This session is useful for students, freshers, working professionals, Java developers, Python developers, and anyone who wants to start learning AI from basics. 📌 Watch the full session and start your AI learning journey today. #GenAI #LLM #RAG #AgenticAI #ArtificialIntelligence #AIOverview #GenerativeAI #PromptEngineering #AIForBeginners #AshokIT #MrAshok #PythonAI #AICareer #MachineLearning #TechLearning