Bayesian Machine Learning in Python: A/B Testing (Udemy.com)

Job well done! This course is a fantastic resource for anyone looking to deepen their understanding of Bayesian methods in machine learning. Whether a beginner or someone with a statistical background, you will find this course enriching and valuable. It has equipped me with the tools to approach machine learning problems with a Bayesian mindset, and I feel confident applying these new skills in my projects.

The probability review has clear explanations. Since it's review, there's no time wasted on needlessly detailed explanations of concepts we should already know as prereqs. Served as a great refresher. The walkthroughs of frequentist statistics are very good. They explain enough of the underlying theory so that you don't feel like you're blindly plugging inputs into pre-built functions from libraries. Thus far, this course has been far better than the A/B testing courses from Dataquest and Datacamp.

Having taken many online courses in different web-learning platforms, I thought was better than what I was expecting from this course. The way you taught quite complex concepts was really straightforward and easy to follow. I think you could reconsider the name of the course as I think it was a bit misleading, as you covered so much material that with a bit more content I think you could make a whole program out of this with different chapters for different statistics/ML topics. Great work! I look forward in checking your other courses.

Very hard course but very well instructed. I have got some certificates already from other courses from Lazy Programmer and they are all taken very seriously by the instructor, it is like a real university classroom course, exercises are hard, you have to rewatch a lot sometimes to understand the content clearly but then you get it and you can do the exercises. You must dedicate enough time on it... In the end you feel that you understand the subject and it will naturally pop up on your head when you think of an application where it may be useful to solve the problem...

I have been through more than half of the course materials. By now, I can confidently tell you that Lazy programmer would not let you down for his courses. It is one of few courses over Udemy that I can recommend anyone to watch. I am sure you will learn something out of his course materials. By the way, Does Lazy programmer offer other courses on Bayesian statistics? at least somewhat related with Bayesian statistics?

In bandit design lecture used many-to-many relationship but it is clearly one-to-one. In bandit summary lecture properties of online learning are secondary to online learning itself and can be changed in online learning. Also in data that can be real-world is used in course, for example in the adaptive ad server exercise lecture. If the author is don't want to search data - ok, but tell truth. The last one issue impacted this rate the most.

teacher is an expert at his field. maybe less in teaching. unique in-depth content. students should have had some experience with programming classes and objects, as well as dunder methods and list comprehensions code can be more readable with better naming instead of alphabets. waste time reading it. also should include printing python objects (i googled for a solution) as console.log is essential for coding to view under the hood.

This is truly an amazing class. These courses are just what I am looking for. You are giving us the mathematics behind the techniques and then giving us a chance to code it and check the code. Really great stuff. I have the remainder of your data science courses and look forward to taking them. Nice JOB!

In my opinion the course is good - it is well organized, each section starts with detailed explanation of theory followed by numerous code examples and exercises. The example code is compact, self explanatory with lots of comments, requires little experiense in Python. The instructor is professional in teaching ML. I had no difficulty to follow up his lectures with my intermediate English. The course still wants more in-depth theory and exercises on Bayes A/B testing, a final project would be a plus. Also it seems not very efficient to include sections 8,9,10 (2h+ video) in each Lazy course - one can find all these topics in the "Deep Learning Prerequisites" :).

This was the most efficient and concise online course I have ever taken! The instructor is on to the point and avoids unnecessary explanation (yet suggesting references for the curious to explore further. ) He repeats and emphasizes the takeaway points of each lecture just the right number of times! I'm no set off to take some of his other courses.