Artificial Intelligence I: Meta-Heuristics and Games in Java (Udemy.com)

The instructor is really knowledgeable, and you can tell he knows his stuff. He makes the algorithms really simple to understand by covering the theory in depth then implementing them in code referencing back to the theory so you can relate the theorical to the concrete. The algos learned can help in many problem-solving tasks involving code, not just ML/AI, and I recommend any coders looking to up their math-related coding skills take this course.

The course was great on the algorithms part. It really explained you both theoretically and visually with great tools and examples what is happening when you run a given algo. The only problem I found, there aren't really a lot of language conventions used. Some pieces of code may have been refractored differently. But again, if you already know Java and can do it by your self this is really good course

Very good course for an introductory overview of some basic artificial intelligence concepts and algorithms (especially if you have some Java back-ground). I've see a lot of people comment about the presenters accent and yes, it is a bit hard to follow at first, but you get use to it quickly enough and I did not find it detracted from his ability to explain an convey the concepts.

The instructor has a unique style and has a non-native English accent (Hungarian) and certain idiosyncrasies. Once you get used to his pattern, you realize he packs a lot of information in the most efficient way possible. I've gone over a lesson multiple times, and learned something new, or a new highlighted point. Extraordinary value and I would say one of the best tutorial series on Udemy for AI learning. I have tried other instructors in this field, but this instructor is the best to date, in my opinion, for my learning style.

Great introductory course for classic artificial intelligence! Very concise and to the point. Good example implementations. Thank you! My only other comment would be that, on the Minimax section, I would have preferred the Tic-Tac-Toe example to start with the actual implementation of the Minimax algorithm, instead of the Tic-Tac-Toe components, since it made it harder for me to understand the Minimax implementation outside of Tic-Tac-Toe.

I have seen other AI courses that were too theoretical and others that just show you how to use a third-party library that implements the algorithms. Holczer has a good balance of theory and application of the concepts. I like the simple examples that are used and coded with no outside libraries, meaning you can apply it anywhere. I watch the lectures in 1.75x speed and pause the video occasionally during coding as I write my own. One suggestion for improvement would be the coding itself could be cleaner, seems to be older style Java. But I code it my way as I follow along. Thanks for reading! :)

Generally, the course was quite clear and concise. The exception was the tic-tac-toe implementation, which became clear, eventually, but which could benefit from a discussion, early on, about the data structures being used. For example, why is the board a 2d array when each cell indicates its own coordinates? Another example: there was no explanation of making/unmaking moves as the minmax method explored the game tree. (Making the moves is accomplished by a move() method, but unmaking is accomplished by directly editing the board array. This process could be made more uniform--and thus, more clear.)

This is a good course covering the basic background concepts of AI in Java. The theory is well presented and example code is provided to demonstrate implementations of the concepts. The only thing I would have liked to see, is more structured exercises and problems for the student to solve on their own to reinforce the concepts taught. I did attempt to implement most of the concepts in code before going through the implementation lectures - but I think it might be easy to be tempted to just follow the course through without trying to implement the code for yourself. On the whole though - I very much enjoyed the course and found the content very interesting.

I must say this is a very great course. Easy for me as a fresh man in AI. It is a basic course and open the door to some basic algorithm of AI. I love the implementation portion, which I can hands on for what was described in the theory.

Although course is not polished and lacks jaw dropping AV quality, advanced topics are explained with simplicity. With this course I build solid ground for jumping to much more complicated stuff, such as neural networks and machine learning. Thanks mr Holczer.

I found the topics did not provide enough detail, and what was provided was slow and dry.

The video examples are not all provided in the example code. An example of this, as of 21/08/18 the A Star video code is completely difference to the source code. In addition the source code is broken and not implemented correctly.

easy paced and concepts described well