Hidden Markov Models Courses and Certifications

Pascal Poupart

CS480-680 - Hidden Markov Models

Explore Hidden Markov Models, their assumptions, and applications in robot localization. Learn about monitoring tasks, hindsight reasoning, and finding the most likely explanation.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Pascal Poupart

Hidden Markov Models

Learn about Hidden Markov Models, their applications in speech recognition and robotics, and key algorithms like the Forward Algorithm in this comprehensive overview.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

OUCH: Investigating Limitations of Hidden Markov Models in Speech Recognition

Explore speech recognition challenges, focusing on Hidden Markov Model limitations. Examine frame-to-frame independence assumptions and their implications for improving recognition accuracy.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Tutorial on Hidden Markov Models - Part 2

Explore advanced concepts of Hidden Markov Models, including applications and algorithms, in this in-depth continuation of Jason Eisner's tutorial series.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

The Julia Programming Language

Fast and Generic Hidden Markov Models in Julia

Discover how to implement flexible Hidden Markov Models in Julia, exploring custom distributions, precision control, sparse matrices, and gradient computation for diverse industrial and academic applications.

• YouTube
• 30 minutes
• On-Demand
• Free Video

UofU Data Science

Hidden Markov Models - Parameter Estimation and Efficient Inference

Master parameter estimation and efficient inference techniques for Hidden Markov Models, exploring key algorithms and mathematical foundations for probabilistic sequence modeling and pattern recognition.

• YouTube
• 1 hour
• On-Demand
• Free Video

UofU Data Science

Hidden Markov Models: Parameter Estimation, Inference, and Viterbi Algorithm

Master parameter estimation and inference in Hidden Markov Models (HMM), including Viterbi algorithm implementation for sequence analysis and probabilistic modeling.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Hidden Markov Models

Discover Hidden Markov Models through expert instruction from Johns Hopkins' Center for Language & Speech Processing in this comprehensive statistical modeling tutorial.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Hidden Markov Models - Part 2

Delve into advanced Hidden Markov Models concepts and applications in this comprehensive workshop session from Johns Hopkins University's renowned summer program.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

OUCH - Outing Unfortunate Characteristics of Hidden Markov Models

Discover the limitations and problematic characteristics of Hidden Markov Models in this technical seminar from Johns Hopkins University's speech processing center.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Unsupervised Machine Learning Hidden Markov Models in Python

4396 ratings at Udemy

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.

• Udemy
• 9 hours 48 minutes
• On-Demand
• Paid Course

Open Data Science

ODSC West 2015 - Hacking Machine Data

Explore techniques for analyzing machine data, including Hidden Markov Models and anomaly detection. Learn to handle time-series datasets with high volatility and noise, applying real-world methods to extract valuable insights.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Unsupervised Training of an HMM-Based Speech Recognizer for Topic Classification

Discover unsupervised HMM training techniques for speech recognition systems focused on automatic topic classification without labeled data.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Non-Stationary Multi-Stream Processing

Explore multi-stream automatic speech recognition techniques for handling non-stationary noise, featuring HMM-based approaches and subband processing methods.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

UBM Based Acoustic Modeling for ASR

Discover UBM-based acoustic modeling techniques for automatic speech recognition systems through expert insights from Microsoft Research and Johns Hopkins University.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video