This is one of the best introductory books on machine learning, including regression, classification, resampling, clustering, support vector machines and tree-based methods.
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I got turned onto the ISLR by DataRobot support personnel who said it described the theoretical underpinning of the models DataRobot vets/uses. I found it readable, approachable and far better organized than the materials of various MOOCs I took which covered the same material. I have a far better grasp of the material now than I did before reading.
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I am learning data science and i have finished the first three chapters of this book. It is easier to understand than some more technical books that people read in their PhD programs. At the same time it went deeper than Coursera courses and some o’Reilly books I read
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excellent intro book, well written and easy to read through if you have undergrad math/eng knowledge
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What else can I say. Arrived timely
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