Machine Learning: A Reinforcement Learning
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Description
The book is exactly what its title claims it to be: lecture notes; nothing more, nothing less! A reader looking for elaborate descriptive expositions of the concepts and tools of machine learning will be disappointed with this book. There are plenty of books out there in the market with different styles of exposition. Some of them give a lot of emphasis on the mathematical theory behind the algorithms. In some others the emphasis is on the verbal descriptions of algorithms avoiding the use of mathematical notations and concepts to the maximum extent possible. There is one book the author of which is so afraid of introducing mathematical symbols that he introduces as the Greek letter sigma similar to a b turned sideways. But among these books, the author of these Notes could not spot a book that would give complete worked out examples illustrating the various algorithms. These notes are expected to fill this gap
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