Search result for Probabilistic programming Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 23 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 53 hours to complete
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. Welcome to Probabilistic Deep Learning with TensorFlow 2 Wrap up and introduction to the programming assignment...
R Programming for Simulation and Monte Carlo Methods
by Geoffrey Hubona, Ph.D.- 4.4
-
![]()
![]()
![]()
![]()
![]()
11.5 hours on-demand video
R Programming for Simulation and Monte Carlo Methods focuses on using R software to program probabilistic simulations, often called Monte Carlo Simulations. The course partially utilizes the Comprehensive R Archive Network (CRAN) spuRs package to demonstrate how to structure and write programs to accomplish mathematical and probabilistic simulations using R statistical software....
$12.99
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 38 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Following the first course, which focused on representation, this course addresses the question of probabilistic inference: how a PGM can be used to answer questions....
Big Data Analytics
by Lewis Mitchell , Simon Tuke , David Suter- 0.0
-
![]()
![]()
![]()
![]()
![]()
10 Weeks
In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. predictive analytics, including probabilistic and statistical models;...
$199
Text Mining and Analytics
by ChengXiang Zhai- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 33 hours to complete
7 Topic Mining and Analysis: Probabilistic Topic Models 8 Probabilistic Topic Models: Overview of Statistical Language Models: Part 1 9 Probabilistic Topic Models: Overview of Statistical Language Models: Part 2 10 Probabilistic Topic Models: Mining One Topic 9 Text Categorization: Generative Probabilistic Models 5 Contextual Text Mining: Contextual Probabilistic Latent Semantic Analysis...
Computational Probability and Inference
by George H. Chen , Polina Golland , Gregory W. Wornell , Lizhong Zheng- 0.0
-
![]()
![]()
![]()
![]()
![]()
12 Weeks
Learn fundamentals of probabilistic analysis and inference. In this data analysis and computer programming course, you will learn the principles of probability and inference. You don’t need to have prior experience in either probability or inference, but you should be comfortable with basic Python programming and calculus. How to model real-world problems in terms of probabilistic inference...
$49
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 66 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. The (highly recommended) honors track contains two hands-on programming assignments, in which key routines of two commonly used learning algorithms are implemented and applied to a real-world problem....
Related searches
Autonomous Navigation for Flying Robots
by Jürgen Sturm , Daniel Cremers , Christian Kerl- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
probabilistic state estimation, The course consists of a series of weekly lecture videos that we be interleaved by interactive quizzes and hands-on programming tasks. Probabilistic Robotics....
$50
Matrix Factorization and Advanced Techniques
by Michael D. Ekstrand , Joseph A Konstan- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
Probabilistic Matrix Factorization Programming Matrix Factorization Intro - Programming Matrix Factorization SVD Programming Eval Quiz Programming Hybrids & Learning to Rank Programming Hybrids and Machine Learning Description...
Learn Algorithms and Data Structures in Java
by Packt Publishing- 3.6
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
You’ll get familiar with multithreading algorithms and probabilistic algorithms....
$9.99
