HandsOn Programming, with R
Write Your Own Functions and Simulations
by Garrett Grolemund
Should I read this?
appears in Data Science.
This guide is ideal if you?re a professional, manager, or student who wants practical knowledge of analyzing data, without having to get a PhD in statistics. It?s also good for people who have a PhD in statistics, but may not know how to write programs that apply statistical methods to real data.Discover how to apply the R language to data analysis...
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appears in Data Science.
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Not sure if this is the right fit?
Consider Life 3.0 by Max Tegmark. Recommended by 18 sources.
“Life 3.0 reads like a long, wide-ranging conversation with a physicist who loves big if-then thought experiments. The useful part is its panoramic sweep across possible AI futures—from job automation to cosmic colonization—forcing you to consider timelines you might otherwise avoid. The limitation is that the speculative breadth often outruns the depth; chapters can feel meandering, and some readers will find the cosmic-scale scenarios too detached from practical concerns, making it hard to ground in real urgency.”
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Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.