Introduction to HMMs | Hidden Markov Models Part 1 скачать в хорошем качестве

Introduction to HMMs | Hidden Markov Models Part 1

In this video, we break down Hidden Markov Models (HMMs) in machine learning with intuitive explanations and step-by-step examples. Starting from simple Markov chains, we build up to HMMs and show how they help infer hidden states from observable data — a foundational concept used in speech recognition, NLP, and more. Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Marginal, Joint and Conditional Probabilities Explained:    • Marginal, Joint and Conditional Probabilit...   Basic Probability Distributions Explained:    • Basic Probability Distributions Explained:...   Bayesian Optimization:    • Bayesian Optimization   Hyperparameters Tuning: Grid Search vs Random Search:    • Hyperparameters Tuning: Grid Search vs Ran...   The Kernel Trick:    • The Kernel Trick   Cross-Entropy - Explained:    • Cross-Entropy - Explained   Dropout - Explained:    • Dropout in Neural Networks - Explained   Overfitting vs Underfitting:    • Overfitting vs Underfitting - Explained   Why Models Overfit and Underfit - The Bias Variance Trade-off:    • Bias-Variance Trade-off - Explained   Least Squares vs Maximum Likelihood:    • Least Squares vs Maximum Likelihood   XGBoost Explained in Under 3 Minutes:    • XGBoost Explained in Under 3 Minutes   Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:21 - Markov Chains 02:27 - Hidden Markov Models 03:58 - Inference Example 05:02 - Summary 05:37 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   👔 Linkedin:   / 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:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #machinelearning #hiddenmarkovmodel #datascience #mltutorial #statisticalmodeling