Search result for Bayesian inference Online Courses & Certifications
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Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data....
Statistical Thinking for Data Science and Analytics
by Andrew Gelman , David Madigan , Lauren Hannah , Eva Ascarza- 0.0
5 Weeks
Data collection, analysis and inference How to use Bayesian modeling and inference for forecasting and studying public opinion...
$99
Probability - The Science of Uncertainty and Data
by John Tsitsiklis , Dimitri Bertsekas , Patrick Jaillet , Karene Chu- 0.0
16 Weeks
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science. the main tools of Bayesian inference methods Inference methods...
$300
CS50's Introduction to Artificial Intelligence with Python
by David J. Malan , Brian Yu- 0.0
7 Weeks
logical inference Bayesian networks...
$199
ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects
by Gopal Shangari- 4.3
30 hours on-demand video
Classical Inference Proportions Bayesian Analysis Bayesian Inference Proportions Bayesian Inference Means...
$12.99
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. " To succeed in the course, you should have some knowledge of and comfort with calculus-based probability, principles of maximum-likelihood estimation, and Bayesian estimation. Bayesian estimation for Mixture Models Bayesian Information Criteria (BIC) Example: Bayesian inference for the partition structure...
Bayesian Statistics: From Concept to Data Analysis
by Herbert Lee- 4.6
Approx. 12 hours to complete
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. 2 Bayesian probability and coherence 2 Inference example: Bayesian...
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Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
Approx. 27 hours to complete
Bayesian inference Bayesian inference - example Bayesian inference in Python...
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
Approx. 53 hours to complete
You will learn how probability distributions can be represented and incorporated into deep learning models in TensorFlow, including Bayesian neural networks, normalising flows and variational autoencoders. Probabilistic layers and Bayesian neural networks Welcome to week 2 - Probabilistic layers and Bayesian neural networks...
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
Approx. 38 hours to complete
The course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied. Inference Overview Overview: MAP Inference Inference in Temporal Models Inference in Temporal Models Inference in Temporal Models Inference Summary Inference Final Exam...