Hidden Markov Models Courses and Certifications

Unsupervised Machine Learning Hidden Markov Models in Python

4411 ratings at Udemy

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

• Udemy
• 9 hours 48 minutes
• Self-Paced
• Paid Course

Pascal Poupart

CS480-680 - Hidden Markov Models

Explore Hidden Markov Models through monitoring, hindsight reasoning, most likely explanation, and robot localization applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Career Certificate

Artificial Intelligence

235 ratings at Udacity

Explore classical AI methods—search, planning, optimization, adversarial reasoning, and probabilistic graphical models—to build problem-solving agents.

• Udacity
• 40 hours
• Self-Paced
• Paid Course

Introduction to Natural Language Processing

3 ratings at Udacity

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
• 11 hours
• Self-Paced
• Paid Course

Fundamentals of Probabilistic Graphical Models

Learn to model probability distributions with Bayes Nets and apply Hidden Markov Models to sequence tasks such as spam classification and part-of-speech tagging.

• Udacity
• 14 hours
• Self-Paced
• Paid Course

Manolis Kellis

Epigenomics and Hidden Markov Models in Computational Biology - Lecture 5

Explore epigenomics, histone modifications, and DNA profiling techniques. Learn about read mapping, quality control, and Hidden Markov Models for analyzing chromatin states in computational biology.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

UofU Data Science

Natural Language Processing: POS Tagging, Named Entity Recognition, and Hidden Markov Models

Master natural language processing fundamentals through POS tagging, named entity recognition, and hidden Markov models for enhanced text analysis and linguistic structure prediction.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Natural Language Processing with Probabilistic Models

1790 ratings at Coursera

This is the Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Finding Mutations in DNA and Proteins (Bioinformatics VI)

62 ratings at Coursera

Map sequencing reads to a reference genome using the Burrows-Wheeler transform and combinatorial pattern matching, then build hidden Markov models and profile HMMs to align highly mutated proteins.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

287 ratings at Coursera

An introduction to bioinformatics concepts and methods, from sequence alignment and BLAST to NGS, RNA-seq, variant prediction, and pathway analysis.

• Coursera
• 14 weeks, 2 hours a week
• Self-Paced
• Paid Course

Computational Probability and Inference

3 ratings

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spa

• edX
• 12 weeks, 4-6 hours a week
• Self-Paced
• Free Certificate

Reasoning Under Uncertainty

Reason and decide under uncertainty: apply Bayes' Rule, Bayesian Networks, Hidden Markov Models with the Viterbi algorithm, and Markov Decision Processes solved by value and policy iteration.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course