Develop data science, machine learning, and data analytics skills, and learn to apply them to your marketing, digital media, and online advertising operations.
Bayesian Machine Learning in Python: A/B Testing online certification is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and offered by Udemy Inc., an online learning platform based in the United States that helps individuals learn new skills and professionals refine their existing ones.
With Bayesian Machine Learning in Python: A/B Testing online training, methods that candidates will learn will not be limited to A/B testing; rather, they will use A/B testing as an introduction to how Bayesian techniques can be used. Candidates will master the essential tools of the Bayesian method - using A/B testing as an analogy - and then apply those Bayesian methods to more advanced machine learning models in the future.
Individuals taking the Bayesian Machine Learning in Python: A/B Testing online course, are advised to have prior knowledge of the following topics: probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF), python coding, Numpy, Scipy and Matplotlib so that their lack of knowledge of any particular topic won’t affect their overall learning experience.
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Udemy
After completing the Bayesian Machine Learning in Python: A/B Testing certification course, candidates will get an understanding of how python and machine learning can be used for media and digital marketing operations, use Bayesian methods for A/B testing, develop an understanding of the difference between conventional and Bayesian A/B testing, use adaptive algorithms and optimize A/B testing results, distinguish between Bayesian and frequentist statistics.
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