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Ontdek op deze pagina verschillende cursussen en bronnen gericht op Bayesiaanse statistiek. Bayesiaanse statistiek is een benadering van statistische inferentie waarbij waarschijnlijkheden worden gebruikt om onzekerheid te modelleren. Het biedt een krachtig kader voor het maken van beslissingen en het interpreteren van gegevens, vooral in situaties met beperkte gegevens of complexe modellen.
Of je nu een beginner bent die de basisprincipes van Bayesiaanse statistiek wil leren, een onderzoeker die zijn kennis wil verdiepen, of een datawetenschapper die zich wil specialiseren in Bayesiaanse methoden, onze partners bieden cursussen aan die geschikt zijn voor verschillende niveaus en interessegebieden binnen dit domein.
Je vindt hier gedetailleerde informatie over elk programma, inclusief kernthema's zoals Bayesiaanse kansrekening, Bayesiaanse modellering, Bayesiaanse netwerken, Markov Chain Monte Carlo (MCMC) methoden, en meer. Deze cursussen omvatten vaak praktische toepassingen, programmeeropdrachten en casestudy's om je te helpen bij het begrijpen en toepassen van Bayesiaanse statistiek in echte problemen.
Leer van experts op het gebied van Bayesiaanse statistiek en ontdek hoe je dit krachtige kader kunt gebruiken om betere beslissingen te nemen en complexe problemen op te lossen. Of je nu je carrière in de statistiek wilt bevorderen, je wilt specialiseren in Bayesiaanse methoden, of gewoon geïnteresseerd bent in het leren van een krachtige statistische benadering, er is een programma voor jou. Begin vandaag nog met het ontwikkelen van je kennis en vaardigheden op het gebied van Bayesiaanse statistiek door je te verdiepen in de opleidingen die wij aanbieden.
Overzicht cursussen Bayesiaanse statistiek
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
1,5 uur in totaal
Partner: Udemy
Instructeur:
EDUCBA Bridging the Gap
Learn to solve statistical problems using Bayesian Statistics and MS Excel.
Wat je leert: Get hands-on exposure to Bayesian Statistics , Learn to solve case studies in Excel for any statistical model , Entire concepts of Bayesian Statistics
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Wat je leert: Get hands-on exposure to Bayesian Statistics , Learn to solve case studies in Excel for any statistical model , Entire concepts of Bayesian Statistics
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
120 vragen
Partner: Udemy
Instructeur:
Code Wizard Tutor
Master the Theory and Applications of Bayesian Machine Learning in Data Science and AI.
Wat je leert: Gain a solid understanding of the foundational concepts of Bayesian machine learning , Learn how to apply Bayesian methods to solve real-world machine learning problems , Explore the principles of probabilistic graphical models and their role in Bayesian machine learning
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Wat je leert: Gain a solid understanding of the foundational concepts of Bayesian machine learning , Learn how to apply Bayesian methods to solve real-world machine learning problems , Explore the principles of probabilistic graphical models and their role in Bayesian machine learning
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
1 uur in totaal
Partner: Udemy
Instructeur:
EDUCBA Bridging the Gap
Apply Bayesian methods to A/B testing and also use adaptive algorithms to improve A/B testing performance..
Wat je leert: Apply Bayesian methods to A/B testing and also use adaptive algorithms to improve A/B testing performance , Naive Bayes Classifier introduction and Use of naive bayes in Machine Learning , Understanding A/B testing and Split tests
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Wat je leert: Apply Bayesian methods to A/B testing and also use adaptive algorithms to improve A/B testing performance , Naive Bayes Classifier introduction and Use of naive bayes in Machine Learning , Understanding A/B testing and Split tests
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
5,5 uur in totaal
Partner: Udemy
Instructeur:
Brian Greco
A former Google data scientist helps you master the basics of Bayesian statistics, with examples in R and Stan.
Wat je leert: Understand how Bayes' rule can be used to update beliefs , Use conjugate priors and likelihoods to model binary, count, and continuous data , Understand the concepts of prior distributions, posterior distributions, likelihood functions, and predictive di
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Wat je leert: Understand how Bayes' rule can be used to update beliefs , Use conjugate priors and likelihoods to model binary, count, and continuous data , Understand the concepts of prior distributions, posterior distributions, likelihood functions, and predictive di
Doelgroep: People who want to understand Bayes' Theorem intuitively and deeply.,People interested in probability.,Data scientists looking to develop their understanding of probability theory.,Students interested in deepening their understanding of probability...
Type Opleiding: online/e-learning
Richtprijs: Free
Taal: Engels
Duur:
1,5 uur in totaal
Partner: Udemy
Instructeur:
Woody Lewenstein
Bayesian statistics is used in many different areas, from machine learning, to data analysis, to sports betting and more. It's even been used by bounty hunters to track down shipwrecks full of gold!This beginner's course introduces Bayesian statistics from scratch. It is appropriate both for those just beginning their adventures in Bayesian statistics as well as those with experience who want to u
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Doelgroep: Graduate students who have worked with Bayesian Modelling..
Type Opleiding: online/e-learning
Richtprijs: €199.99
Taal: Engels
Duur:
5 uur in totaal
Partner: Udemy
Instructeur:
Omid Rezania
In this course which is a capstone project of the previous courses in Bayesian analysis and programming with STAN , the Hierarchical Bayesian Analysis has been explored on the Alzheimer`s disease data obtained from MRI images. contrary to convectional Bayesian Hierarchical models which only the variation within one single level has been explored , in this course the variation has b
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Doelgroep: Anyone interested in Data Science.,Anyone interested in implementing Machine Learning models with Python.,Anyone interested in Statistics.,Anyone considering AI or Data Science as a future career path.,Current Data Science or AI students that want to..
Type Opleiding: online/e-learning
Richtprijs: €19.99
Taal: Engels
Duur:
2 uur in totaal
Partner: Udemy
About This ClassThis class has the purpose to make you understand the theory behind the popular Naïve Bayes Classifier method used in Machine Learning and to teach you how to implement it in code, using Python.Therefore, the course is divided into 2 parts: a theoretical one and a practical one.We are also going to implement other popular Machine Learning algorithms and compare the performances wi
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Doelgroep: Anyone who is interested to know how to start a project applying Bayesian and finish it in Bayesian..
Type Opleiding: online/e-learning
Richtprijs: €24.99
Taal: Engels
Duur:
8,5 uur in totaal
Partner: Udemy
Instructeur:
Omid Rezania
“No thief, however skillful, can rob one of knowledge, and that is why knowledge is the best and safest treasure to acquire.”― L. Frank Baum, The Lost Princess of Oz
When I was doing my graduate studies in Applied Mathematics , I was overwhelmed with the number of the books in Bayesian with many theories and wonderful mathematical equations , but I was completely paralyzed
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When I was doing my graduate studies in Applied Mathematics , I was overwhelmed with the number of the books in Bayesian with many theories and wonderful mathematical equations , but I was completely paralyzed
Doelgroep: Anyone who is interested to know how to start a project applying Bayesian and finish it in Bayesian..
Type Opleiding: online/e-learning
Richtprijs: €29.99
Taal: Engels
Duur:
8 uur in totaal
Partner: Udemy
Instructeur:
Omid Rezania
In this course , the probabilistic programming for statistical inference , STAN , within Bayesian framework has been taught with many examples and mini-project styles .During my graduate studies in applied mathematics , I did not have the resources which teach me how to write the code and how to tune it , it took me such a long journey to teach myself , this then motivated me to create these
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Doelgroep: Python and Julia users who like to learn probabilistic programming..
Type Opleiding: online/e-learning
Richtprijs: €199.99
Taal: Engels
Duur:
2,5 uur in totaal
Partner: Udemy
Instructeur:
Bert Gollnick
You want to know and to learn one of the top 10 most influencial algorithms of the 20th century? Then you are right in this course. We will cover many powerful techniques from the field of probabilistic programming. This field is fast-growing, because these technique are getting more and more famous and proof to be efficient and reliable. We will cover all major fields of Probabilistic Programming
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Doelgroep: Students currently pursuing Statistics and Probability,Anyone who wants to build a strong fundamental of Bayesian Statistics,Anyone who wants to apply Bayesian Statistics to other fields like ML, Artificial Intelligence, Business, Applied Sciences, P..
Type Opleiding: online/e-learning
Richtprijs: €34.99
Taal: Engels
Duur:
3 uur in totaal
Partner: Udemy
Instructeur:
Twinkle Sethi
This course is a comprehensive guide to Bayesian Statistics. It includes video explanations along with real life illustrations, examples, numerical problems, take away notes, practice exercise workbooks, quiz, and much more . The course covers the basic theory behind probabilistic and Bayesian modelling, and their applications to common problems in data science, business, and applied sciences. The
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Doelgroep: University students in science, business and engineering interested in learning about Bayesian Statistics for university or job interviews,Practitioners in these fields interested in learning the central concepts of Bayesian statistics to apply them..
Type Opleiding: online/e-learning
Richtprijs: €19.99
Taal: Engels
Duur:
4,5 uur in totaal
Partner: Udemy
Instructeur:
Dr. Philipp Loick
Bayesian Statistics is a fascinating field and today the centerpiece of many statistical applications in data science and machine learning. In this course, we will cover the main concepts of Bayesian Statistics including among others Bayes Theorem, Bayesian networks, Enumeration & Elimination for inference in such networks, sampling methods such as Gibbs sampling and the Metropolis-Hastings al
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Doelgroep: Graduate students,Bayesians,Data Scientists,Professionals,Researchers..
Type Opleiding: online/e-learning
Richtprijs: €19.99
Taal: Engels
Duur:
5 uur in totaal
Partner: Udemy
Instructeur:
Jonathan Navarrete
This is a fully developed graduate-level course on Monte Carlo methods open to the public. I simplify much of the work created leaders in the field like Christian Robert and George Casella into easy to digest lectures with examples. The target audience is anyone with a background in programming and statistics with a specific interest in Bayesian computation. In this course, students
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Doelgroep: The course is ideal for anyone interested in learning both the conceptual and practical side of using Bayes' Rule to model likely event outcomes.,The course is best suited for both students and professionals who currently make use of quantitative or..
Type Opleiding: online/e-learning
Richtprijs: €94.99
Taal: Engels
Duur:
11,5 uur in totaal
Partner: Udemy
Instructeur:
Geoffrey Hubona, Ph.D.
Bayesian Computational Analyses with R is an introductory course on the use and implementation of Bayesian modeling using R software. The Bayesian approach is an alternative to the "frequentist" approach where one simply takes a sample of data and makes inferences about the likely parameters of the population. In contrast, the Bayesian approach uses both likelihood functions and a sample of observ
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Doelgroep: Students and professionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work..
Type Opleiding: online/e-learning
Richtprijs: €119.99
Taal: Engels
Duur:
10,5 uur in totaal
Partner: Udemy
Instructeur:
Lazy Programmer Inc.
This course is all about A/B testing.A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.A/B testing is all about comparing things.If you’re a data scientist, and you want to tell the rest of the company, “logo A is better than logo B”, well you can’t just say that without proving it using numbers and statistics.Traditional A/B testing has b
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