Hidden Markov Models Courses and Certifications

Machine Learning and Knowledge Discovery

Master machine learning fundamentals and advanced concepts through hands-on PyTorch implementation, covering neural networks, deep learning architectures, and practical applications in robotics and computer vision.

• XuetangX
• On-Demand
• Free Online Course

Digital Speech Signal Processing

Students can master the basic theory of digital speech signal processing and mathematical analysis and modeling method of sound object through this course.

• XuetangX
• On-Demand
• Free Online Course

Algorithms in Computational Biology and Sequence Analysis

Master computational biology algorithms and data structures for analyzing genomic datasets, from sequence alignment to evolutionary tree construction, with hands-on programming using real biological data like SARS-CoV2.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Pascal Poupart

Reinforcement Learning - Spring 2018

Master reinforcement learning algorithms that enable machines to learn from partial feedback, covering Markov processes, deep RL, bandits, and applications in robotics and games.

• YouTube
• 1 day 22 minutes
• On-Demand
• Free Video

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 Video

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

Alan Turing Institute

Time Series Modelling and State Space Models - Professor Chris Williams, University of Edinburgh

Explore time series modeling, including ARMA models, Hidden Markov Models, and Kalman filtering. Learn parameter estimation, inference techniques, and advanced topics in state-space models.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Manolis Kellis

Machine Learning in Computational Biology Fall 2024

Explore machine learning applications in computational biology, covering single-cell analysis, protein folding, drug development, genomics, and metabolic modeling techniques.

• YouTube
• 1 day 6 hours 55 minutes
• On-Demand
• Free Video

Fields Institute

Data-Driven Modelling - Machine Learning and Dynamical Systems

Explore cutting-edge machine learning techniques for modeling complex dynamical systems through data-driven approaches and computational methods.

• YouTube
• 18 hours 28 minutes
• On-Demand
• Free Video

Alan Turing Institute

Time Series Class - Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh

Learn fundamental concepts and advanced techniques for analyzing time series data, including ARMA models, state-space models, and neural networks for forecasting and inference.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

Alan Turing Institute

Data Science Applications - Environment/Ecology

Explore statistical modeling techniques for ecological data, focusing on hidden Markov models, Bayesian inference, and capture-recapture methods. Learn to analyze and interpret complex environmental datasets.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Pascal Poupart

Partially Observable Reinforcement Learning

Explore partially observable reinforcement learning, covering Markov processes, hidden models, and recurrent neural networks for decision-making in uncertain environments.

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

Pascal Poupart

Partially Observable RL

Explore partially observable reinforcement learning, covering Markov decision processes, hidden Markov models, and belief monitoring in this comprehensive lecture.

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

Hackaday

Bio-Inspired Sensing

Explore bio-inspired sensing and its applications in robotics, focusing on how biological systems like the human eye inform edge detection, noise rejection, and data processing in artificial sensors.

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