AI News, In-depth introduction to machine learning in 15 hours of expert videos

In-depth introduction to machine learning in 15 hours of expert videos

In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR).

(Update: The course will be offered again in January 2016!) If you are new to machine learning (and even if you are not an R user), I highly recommend reading ISLR from cover-to-cover to gain both a theoretical and practical understanding of many important methods for regression and classification.

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I found it to be an excellent course in statistical learning (also known as “machine learning”), largely due to the high quality of both the textbook and the video lectures.

If you are new to machine learning (and even if you are not an R user), I highly recommend reading ISLR from cover-to-cover to gain both a theoretical and practical understanding of many important methods for regression and classification.

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Online learning

This 30 page guide will show you how to install R, load data, run analyses, make graphs, and more.

Swirl provides exercises and feedback from within your R session to help you learn in a structured, interactive way.

These free events teach you how do do useful things in R, and we’re always making more. Our previous webinars are archived into several tracks for your viewing convenience: Tip: Look at our two-part series on “Working with the RStudio IDE” at DataCamp to master all features of the IDE.

This book will teach you how to use the most modern parts of R to import, tidy, transform, visualize, and model data, as well as how to communicate findings with R Markdown.

You can search for R packages and functions, look at package download statistics, and leave and read comments about R functions.

If you need a quick reminder about how to wrangle data, make a graph, or do some other common task in R download one of our free R cheat sheets.

Or, take Hadley’s online course “Writing Functions in R” where he teaches you the fundamentals of writing functions in R so you can make your code more readable, avoid coding errors, and automate repetitive tasks.

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