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[D] Best Foundational Textbooks

I want to start building a foundation in machine learning to ultimately do research in the intersection of machine learning and economics/finance. Would The Elements of Statistical Learning (Hastie et. al. 2009) be the best place to start? I fear that the text may be outdated in 2019, but I’m coming to ML with only econometric/statistical knowledge.

Also, would An Introduction to Statistical Learning with Applications in R (Gareth et al 2017) be too basic for my goals? Are there better texts I should start with than Hastie et al (2009)?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.