Machine learning is enhancing at a promising rate. It becomes challenging when it comes to supporting game design and development and personalization of the gaming experience based on the data collected related to the player's behavior. Whereas, AI developers are trying to use AI to make the game look and feel more realistic where players can interact naturally with other players and the environment. While on the other hand, the developer can achieve the intended player experience. The motive is to enhance an individual player's experience during the game, and even after.

Why you should read it: The book was born from a challenge on LinkedIn, (where Andriy is an influencer and has Top Voice distinction for his reach on that platform). His book doesn't need too much of an introduction; it's the Amazon best seller in its category and probably the best condensed collection of knowledge on the topic. Where you can get it: Buy on Amazon. This book is distributed on the "read first, buy later" principle, which means you can freely download the book, read it, and share it with your friends and colleagues, and if you liked the book or found it useful for your work or studies then buy it. Supplement: You can find the companion wiki and the code examples on Github.

Where you can get it: Buy on Amazon. This book is distributed on the "read first, buy later" principle. The read first, buy later principle implies that you can freely download the book, read it and share it with your friends and colleagues. If you liked the book, only then you have to buy it. Supplement: You can find the companion wiki and the code examples on Github.

But the combination of big data and fast computers is making these approaches a much more powerful tool for research.