Videos de unsupervised learning
Videos etiquetados con "unsupervised learning"
unsupervised learning 2 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
Autoencoders - Explained
An autoencoder is a neural network that learns to compress its own input and rebuild it. We start with the impossible-sounding task — squeeze a 49-pixel image down to two numbers and expand it back — then build the hourglass architecture, split it into encoder and decoder, and derive the reconstruction loss that trains the whole thing without a single label. By the end you'll see why the bottleneck is the real trick: forcing the network to carry meaning through a narrow waist is what organises the latent space and turns one idea into denoising, anomaly detection, and generation. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Variational Autoencoder - Explained: https://youtu.be/geH5HnRapRs Generative Adversarial Networks (GANs) - Explained: https://youtu.be/G-fXV-o9QV8 Convolutional Neural Networks (CNNs) - Explained: https://youtu.be/YGILT182T6w Recurrent Neural Networks (RNNs) - Explained: https://youtu.be/8G1fImBCMcQ Backpropagation is Just the Chain Rule: https://youtu.be/VCGlYxGJZ04 Activation Functions in Neural Networks - Explained: https://youtu.be/slp222E_0d4 UMAP - Explained: https://youtu.be/kwILqPNZyeo Normalization vs Standardization - Explained: https://youtu.be/87C5hkTY8RI *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - The Impossible Shortcut 00:22 - The Bottleneck 00:53 - Encoder and Decoder 01:21 - Reconstruction Loss 01:48 - The Latent Space 02:08 - Why This Matters *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 X: @datamlistic https://x.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic 👔 Linkedin: https://www.linkedin.com/company/datamlistic *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #autoencoders #deeplearning #machinelearning