Fundamentals of Probabilistic Graphical Models

Offered byUDACITY

Fundamentals of Probabilistic Graphical Models
at
UDACITY
Overview

Duration	3 weeks
Mode of learning	Online
Difficulty level	Advanced
Official Website	Go to Website
Credential	Certificate

Fundamentals of Probabilistic Graphical Models
at
UDACITY
Highlights

Earn a certificate after completion of the course
Projects for real world scenarios

Fundamentals of Probabilistic Graphical Models
at
UDACITY
Course details

Skills you will learn

Data structures Python Statistics

What are the course deliverables?

Scripting
Jupyter notebooks
Basic data structures and algorithms
Basic descriptive statistics
Intermediate Python
Linear algebra
Differential calculus

More about this course

Master probabilistic graphical models with our comprehensive online training course. Learn the intricacies of Bayes Nets, algorithms, and advanced modeling.

Fundamentals of Probabilistic Graphical Models
at
UDACITY
Curriculum

Introduction to Probabilistic Models

Probability

Spam Classifier with Naive Bayes

Bayes Nets

Inference in Bayes Nets

Part of Speech Tagging with HMMs

Dynamic Time Warping

Project: Part of Speech Tagging

Fundamentals of Probabilistic Graphical Models
at
UDACITY
Faculty details

Thad Starner

Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.

Sebastian Thrun

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.