Gaussian Hidden Markov Model Courses


Central Limit theorem derived from Stochastic Processes

Mathematical intuition behind the (often) Gaussian behavior of nature

Rating: 5

Numerical Methods and Optimization in Python

Gaussian Elimination, Eigenvalues, Numerical Integration, Interpolation, Differential Equations and Operations Research

Rating: 4.81818

Linear Algebra and Geometry 2

Much more about matrices; abstract vector spaces and their bases

Rating: 4.76667

Introduction to Reliability, Maintainability & Availability

A solid foundation for Project Managers & Systems Engineers

Rating: 4.7069

Matrix Algebra Explained

Master Matrix Algebra Using Step by Step Lessons and Prepare yourself for Linear Algebra! Over 400 Practice Questions

Rating: 4.7

Computer Vision in Python for Beginners (Theory & Projects)

Computer Vision-Become an ace of Computer Vision, Computer Vision for Apps using Python, OpenCV, TensorFlow, etc.

Rating: 4.7

Algebra 2 Explained

Master Algebra 2 with our Step by Step Video Tutorials and Practice with 1500 Practice Questions! Ace your Algebra Exam!

Rating: 4.65

Beginner - Expert Linear Algebra, with Practice in Python.

Master Linear Algebra, with clear and concise explanations, Practical Examples in various domains like Machine Learning.

Rating: 4.65

Learn OpenCV with Python with Projects

Learn Practical Python OpenCV concepts and develop projects on completion of every module.

Rating: 4.6

Introduction to Copulas

By MJ the Fellow Actuary

Rating: 4.5

Math for Data science,Data analysis and Machine Learning

Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence

Rating: 4.45238

Photobiomodulation : Another Aspects to Know

Low Level Laser Therapy

Rating: 4.45

Clustering Analysis Masterclass using Python [2022 Edition]

Become an expert and solve Real World Problems using Clustering Analysis and Python.

Rating: 4.40909

Introduction to Statistics

Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences

Rating: 4.4

Linear Algebra Mathematics for Machine Learning Data Science

Go Zero to Pro - Complete linear algebra - Mathematics for data science, machine learning & Deep Learning

Rating: 4.35

The Complete Python Masterclass: Learn Python From Scratch

Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.

Rating: 4.34848

Machine Learning for Interviews & Research and DL basics

Machine Learning, Linear Regression, PCA, Neural Networks, Hyperparameters, Deep Learning, Keras, Clustering, Case Study

Rating: 4.3

Speaker Recognition | By Award Winning Textbook Author

Audio processing, feature extraction, speaker recognition, machine learning, and neural networks with coding examples

Rating: 4.27778

Scientific Computing in C++

Learn numerical computation techniques by applying C++ to solve distinct mathematical tasks

Rating: 4.2

OpenCV Starter Project - Pencil Sketch and Cartoon Paint

Apply non photo realistic effect to the image like, pencil and cartoon in Python using, OpenCV, matplotlib, ipywidgets.

Rating: 4.2

Theory of Gaussian Process Regression for Machine Learning

Introduction to a probabilistic modelling tool for Bayesian machine learning, with application in Python

Rating: 4.15

Big Data with Apache Spark and AWS

Learn the latest Big Data technology - Build, and execute real-world Big Data solutions using Spark and AWS.

Rating: 4.1

Linear Algebra for Beginners: Open Doors to Great Careers

Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!

Rating: 4.05

Digital Communications

Digital Communications

Rating: 3.95

Machine learning with Scikit-learn

Learn the most important machine learning techniques using the best machine learning library available

Rating: 3.95

Applied Business Mathematics

Students of Management Sciences and Economics can build strong mathematical concepts through this course.

Rating: 3.8

Linear Algebra from Scratch

An introduction to linear algebra

Rating: 3.5

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