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 Online Course

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 Online Course

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 Online Course

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

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 Online Course

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 Online Course

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)

Finding Mutations in DNA and Proteins (Bioinformatics VI)

59 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)

Unsupervised Machine Learning Hidden Markov Models in Python

4260 ratings at Udemy

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

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

NPTEL;  IIT Kharagpur

Pattern Recognition and Application

This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…

• YouTube
• 1 day 13 hours
• On-Demand
• Free Online Course

IBM;  Amazon Microcredential

Natural Language Processing

275 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 5 hours 55 minutes
• On-Demand
• Paid Course

Bioinformatics Course Lectures

Comprehensive bioinformatics lectures covering genomics, sequencing, evolution, statistics, alignment, phylogenetics, assembly, annotation, and genetic variation for aspiring bioinformaticians.

• YouTube
• 14 hours
• On-Demand
• Free Online Course

Serrano.Academy

Probability

Explore Bayes Theorem, Hidden Markov Models, Shannon Entropy, Naive Bayes classifier, Beta distribution, and Thompson sampling in this friendly introduction to key probability concepts.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

BioinformaticsDotCA

CBW's Machine Learning Workshops May 25-26, 2021

Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.

• YouTube
• 7 hours
• On-Demand
• Free Online Course

IEEE

Smoothed Analysis in Unsupervised Learning via Decoupling

Explore smoothed analysis in unsupervised learning, focusing on tensor decomposition, high-dimensional data, and robust subspace recovery. Gain insights into condition number bounds and perturbation techniques.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk