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#684 on Reddit

Statistical Learning

Stanford Lagunita

2 recommenders · 2 threads · recommended in 2 years, 2016–2019 · score 1.9

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An introductory Stanford course on statistical learning methods, taught by the authors of the textbook 'An Introduction to Statistical Learning' (Tibshirani, Hastie, Witten and colleagues). It covers core supervised and unsupervised learning techniques with R applications, following the book.

Commenters call it a free, world-class companion to the textbook, and describe the book as the top intro text in the field.

Machine Learning & AIbeginnerfreevideo lectures#statistical learning#machine learning#r#tibshirani#hastie

Recommendations by year

20162019

On Reddit (2)

  1. Strongly recommendsdatasciguy-aaayr/MachineLearning2016in “Beginner learning path to Machine Learning”▲ 1

    The textbook Introduction to Statistical Learning, by Tibshirani, Hastie, Witten, et al, is free and it is the top textbook in the field for intro to ML. Furthermore you can just take the MOOC by these same authors, at stanford.edu. They are both FREE, and are both world-class. Andrew Ng's MOOC…

  2. RecommendsCalcifer777r/learnprogramming2019in “Data Science for beginners with some math background”▲ 2

    As for SQL, 'SQL queries for mere mortals' is a pretty good start. Yet it doesn't teach you much (I would say nothing) about data science; as a DS, SQL is a tool you need to need to read the dataset, after that you do not need it. As for python, it seems that you need and introductory course that…

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