Search result for Bayesian methods Online Courses & Certifications
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Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
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Approx. 33 hours to complete
People apply Bayesian methods in many areas: from game development to drug discovery. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. Introduction to Bayesian methods & Conjugate priors Think bayesian & Statistics review Bayesian approach to statistics Introduction to Bayesian methods...
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data....
Applied Bayesian for Analytics
by Pulak Ghosh- 0.0
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6 Weeks
Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software) In this course we will learn about the foundation of Bayesian concepts, how it differs from Classical Statistics including among others Parametrizations, Priors, Likelihood, Monte Carlo methods and computing Bayesian models with the exploration of Multilevel modelling....
$149
Bayesian Statistics
by Mine Çetinkaya-Rundel , David Banks , Colin Rundel , Merlise A Clyde- 3.8
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Approx. 35 hours to complete
The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. The Basics of Bayesian Statistics Bayesian methods and big data: a talk with David Dunson...
Bayesian Modelling with Regression ( From A to Z ) with R
by Omid Rezania- 0.0
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8.5 hours on-demand video
Start and Finish your project in Bayesian I hope this lectures fills in that gap and acts as a bridge that help you as student , researcher or practitioner who wants to apply Bayesian methods in regression in order to successfully make the probabilistic inference....
$12.99
CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations
by Maria E. Suarez-Almazor, MD, PhD , Barry R. Davis, MD, PhD- 0.0
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3 Weeks
You will also be exposed to more complex study designs sometimes used in pragmatic clinical trials, such as Bayesian and adaptive designs. Basic Analytic Methods Introduction to Bayesian Methods Bayesian Designs Describe the statistical methods used to analyze pragmatic clinical trial data...
$249
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
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Bayesian Machine Learning in Python: A/B Testing
by Lazy Programmer Inc.- 4.6
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10.5 hours on-demand video
Finally, we’ll improve on both of those by using a fully Bayesian approach. Why is the Bayesian method interesting to us in machine learning? It’s also powerful, and many machine learning experts often make statements about how they “subscribe to the Bayesian school of thought”....
$14.99
Forecasting Models with Python
by Diego Fernandez- 3.5
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5.5 hours on-demand video
Estimate exponential smoothing methods with only trend patterns such as Holt linear trend, exponential trend, Gardner additive damped trend and Taylor multiplicative damped trend methods. Approximate exponential smoothing methods with trend and seasonal patters such as Holt-Winters additive seasonality and Holt-Winters multiplicative seasonality methods. Select exponential smoothing method with lowest Akaike and Schwarz Bayesian information loss criteria....
$12.99
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks....
$1000
