Artificial Intelligence: Reinforcement Learning in Python (Udemy.com)

The explanations are very clear, and that It a good thing.

However the algorithm presentation is static, more interaction could have been perfect

Aún es prematuro pero de momento me está gustando mucho.

I was expecting to be a little more about didactic. This course lecture reminds me of some of my college professors, going through prepared text without mentioning practical cases related to that (why what you are talking about is so important? Where can that be used in real-world problems). The subject is fascinating, however, I was disappointed with the way it has been explained. I took other Udemy courses, related to the same topic, where the didactics were terrific, it was much easier to understand, even with more in-depth content.

The code examples could have more spaces in the indentation. Sometimes it is hard to see where it starts and ends.

Nevertheless, it was useful, and I learned a lot.

To find out the prerequisite, go to the appendix and watch the videos to find out what courses I should take prior to purchasing this one? Why not just put that in in the prerequisite section? I found the code by doing a github search, it would've been easier if you made the link available. I understand why this is an intermediate course, but I think the appendix should be the first series/lectures.

O material tem boa didática, ainda mais considerando que o assunto não é exatamente trivial. Achei que demorou um pouco a chegar nos algoritmos importantes da área. Na verdade, acho que acabou parecendo um pouco desbalanceado, apresentando uma introdução cuidadosa aos assuntos básicos (com alguns pontos que até poderiam ser cortados), mas apressando-se um pouco mais nos algoritmos principais (e mais complicados) das seções finais. No geral, valeu muito a pena para mim, como visão geral do assunto. Os códigos também foram muito úteis (apesar de um ou outro problema ou ponto de melhoria) para entender o assunto na prática. Dado o preço que paguei pelo curso, acho que valeu muito a pena.

As usual lots of great material no dumbing it down

Yes - experience so far is related to basics of RL, that I already posses - and these are well explained. It will be WELL appreciated by beginners to this topic!

Poor explanations, while the content was as expected, the teacher had the inability to break down the complexity of the content. The majority of the explanations was taking images from wikipedia and repeating the name of the concept.

Great course! Very deep and thorough, and probably the most important of all - it forces you to apply what you learn and truly understand it. Highly recommended (!!!) for everyone serious about learning RL.

I have tried some other AI courses on Udemy but they all gloss over the math and it makes it seem like they have a surface level understanding of what is actually going on. In this course it is clear The LazyProgrammer knows the math behind the algorithms and does a good job at setting up the building blocks so that by the time you see Q-Learning at the end you can see why it was important to first learn about multi armed bandit, MC, TD, etc. first. I'm also a huge fan of coding things by myself as I've done courses with Jupyter Notebooks with "fill in the blank" in the past and that can be harder to actually understand since you might not see how the code ties in. Definitely would recommend.

First the repeated introduction on every section extremely annoying. I bought this course, I don't need to be reminded which course I am taking every freaking section. Second, some of the explanations are very shallow. It will be helpful when presented with an equation to explain it a little bit longer.

Course going into detail of the topic (close to university grade). Some lectures need to be seen several times to get the point, because of the target idea complexity.

Somebody can find the course too advanced, depends on the individuals education background. I would appreciate explained text/source code part to be highlighted, it is hard to concentrate on the explanation and search the screen at the same time.