Tag: books
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The data science “antilibrary”
I first came across the notion of the “antilibrary” in Maria Popova’s beautiful post reflecting on “Why Unread Books Are More Valuable to Our Lives than Read Ones“. The term was coined by Nassim Nicholas Taleb (author of The Black Swan) who suggests that as your knowledge grows, so too should your accumulation of unread…
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If you buy one book in 2020…
…make it Grokking Deep Learning by Andrew Trask! This gem of a book breaks deep learning down to its smallest component parts and then builds up your understanding from there. It’s the equivalent of stripping your car down to nuts and bolts and then re-building it: at the end, you will know to a certainty…
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A Scrum fan is born… cheatsheet
I’ve just finished listening to The Art of Doing Twice the Work in Half the Time on Audible and I feel like a real fan already – I can’t wait to test-drive it in a team situation! As a stalwart of Corporate IT, I’ve only ever worked according to the “waterfall” methodology and I’m unpleasantly…
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Why Linux / command line?
Today I’m ploughing my way through the edX Introduction to Linux and found myself wondering “whyyyy??”. It’s all quite entertaining and nifty, but how will I be using this later? Naturally I googled (using bing!) and found this wonderful online resource www.datascienceatthecommandline.com. After reading the section entitled “A Real-world Use Case” involving data for New York…
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A gem of a book :)
I’ve just bought this delightfully titled book: No bullshit guide to linear algebra by Ivan Savov. It’s not necessarily easy learning everything you need to know about linear algebra for machine learning in 5 weeks (is that just me???) – so when I hit a bit of a brick wall in week 4 I went looking…
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Calculus made easy (really)
For some reason I didn’t expect someone writing in 1910 to have such a wonderful sense of humour – most books from this time seemed…
Sho't left to data science 