data_science_in_julia_for_hackers
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Data Science in Julia With Hackers
"For example, Manchester City was the league's sub-champion, but only appeared in fifth place." Should read "For example, Manchester United was the league's runner-up, but only appeared in fifth place."
TYPOS proyectile -> projectile trayectory -> trajectory percentual -> percentage STYLE consider using the standard abbreviation tan(\theta) as opposed to tg(\theta) for the function gravity_normal the text mentions (mean,variance)=(5,2), but...
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1) Typo in formula for \Delta x. Would also be useful to have equation numbers. 2) In code, formulas like t_final .* t_final ./ 2 can be simplified to 0.5t_final.^2....
1) "bar(Binomial(N,p), ..." is used before StatsPlots is introduced. 2) "p_ =plot(plots[1], plots[2], plots[3], plots[4], plots[5], plots[6], plots[7],plots[8], plots[9], ..." can be simplified to "p_ = plot(plots...," (splaying operator) ....
Another excellent chapter! Some minor suggestions: 1) in spam_predict, replace [wrd for wrd in email_words if wrd in vocabulary] with intersect(email_words, model.vocabulary). Also, I think the code on the webpage...
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