Hidden Markov Models Courses and Certifications

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

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

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

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

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

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Explore advanced probabilistic inference techniques, including hidden Markov models, particle filtering, and Gibbs sampling, for AI applications in object tracking and more.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

IBM;  Amazon Microcredential

Natural Language Processing

309 ratings at Udacity

Master advanced NLP techniques, from text cleaning to machine translation. Build models for sentiment analysis, speech recognition, and more using deep learning and neural networks.

• Udacity
• 2 months 2 weeks 4 days 4 hours 48 minutes
• On-Demand
• Paid Course

Introduction to Natural Language Processing

This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidde…

• Udacity
• 2 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Fundamentals of Probabilistic Graphical Models

Learn to represent complex probability distributions with Bayes Nets and use Hidden Markov Models for pattern recognition in various fields like computer vision, bioinformatics, and natural language processing.

• Udacity
• 3 weeks, 4-5 hours a week
• On-Demand
• Paid Course

MIT Computational Biology - Genomes, Networks, Evolution, Health - Fall 2018

Comprehensive exploration of computational biology, covering genomics, networks, evolution, and health applications through advanced algorithms, data analysis, and cutting-edge research topics.

• YouTube
• 1 day 7 hours
• On-Demand
• Free Video

Machine Learning in Genomics - Fall 2019

Comprehensive exploration of computational biology techniques, from dynamic programming to deep learning, applied to genomics, epigenomics, and systems biology. Covers cutting-edge topics like single-cell genomics and genome engineering.

• YouTube
• 1 day 10 hours
• On-Demand
• Free Video

Finding Mutations in DNA and Proteins (Bioinformatics VI)

60 ratings at Coursera

Explore advanced DNA and protein mutation analysis using combinatorial pattern matching and hidden Markov models. Learn to map genome fragments and identify protein functions in highly mutated scenarios like HIV research.

• Coursera
• 24 hours
• On-Demand
• Free Online Course (Audit)

Dynamic Programming: Applications In Machine Learning and Genomics

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.

• edX
• 4 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Unsupervised Machine Learning Hidden Markov Models in Python

4264 ratings at Udemy

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

• Udemy
• 9 hours 47 minutes
• On-Demand
• Paid Course