There are really just two reasons for its popularity: it has solved some difficult problems, and there is a lot of money in it. Now if you excuse me I think am finally ready to start experimenting with Kaggle competitions.ĭeep learning is the newest fad in the computer science world. I believe this will prove to be an important work which opens doors to a whole new class of machine learning engineers. For the time being this book will be the one I would recommend first for anyone looking to gain an understanding of current practice / state of the art for machine learning. The text somehow manages to balance covering basics and foundational concepts even while addressing considerations for the advanced practitioner or researcher. The language is clear and easy to follow, even the coding language for that matter - Keras, the machine learning platform of which the author is the architect, is IMO much better entry point for coders to deep learning than TensorFlow based on complexity of reviewed coding tutorials. Based on the simple metric of frequency / density of highlighted passage, this text is by far the best book have ever read on subject of machine learning (or most subjects for that matter).
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