Please i am interested to know the near future of research in computer games using machine learning? These days many researchers are interested in computer games using different machine learning techniques like Deep-Q-learning, Reinforcement learning, etc. But before stepping into this area of research i want to know its scope and importance. Thanks
There is a new book describing the use of artificial intelligence in general and machine learning in particular for playing games. This is a very large research field, so it is best to study this book (online copy available): http://gameaibook.org
hi?
Supervised learning is simply the formalization of ideas and ideas learned from examples. In this category, the learner is usually a computer program, and the set of training and bench sets are two sets of sets that can provide them. The learner's way of thinking is to learn from the set of labeled examples in the test set so that it can identify in the high-grade benchmark the samples without labels, as well as for each instance in the test set of an object as an input and an object. Available as output. For example, suppose the following data is from Twitter as input:
Really loving the new St Vincent album!
#fashion I'm selling my Louboutins! Who's interested? #louboutins
I've got my Hadoop cluster working on a load of data. #data
music Really loving the new St Vincent album
Clothing #fashion I'm selling my Louboutins! Who's interested? #louboutins
Bigdata I've got my Hadoop cluster working on a load of data. #data
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