I’ve just started working through Goodfellow’s brilliant book Deep Learning and thought it would be very useful to start a study group to discuss bits which are difficult to understand and also to keep us motivated!
Here’s what I have in mind:
I’d like to finish the first section Applied Math and Machine Learning Basics by Christmas, which translates to about 15 pages per week.
Please comment on this post if you'd like to join!
If you would like to help manage this study group, please join our Slack group!
The average person will walk $75,000$ miles in their lifetime - equivalent to $3$ times around the world.
There isn't much to choose between them.
R has built in packages which allow you do analysis faster, e.g., you can use commands like
plot straight off the bat, whereas in python you'll probably have to import
matplotlib before doing any analysis.
That being said, I prefer python because (in my opinion) it is a more intuitive language, and the staple packages (i.e.,
pandas, etc.) are a little more powerful 🔥🔥.
Hope this helps!
I thought it was too at first, but it's not! So unintuitive! 😲
Great interview! 👏👏👏
Welcome to the site Harry 😁
I recently came across an interesting statistics puzzle, so thought I'd share it.
You will very easily be able to find the solution by googling around, but I encourage you not to!
Best of luck.
I'd be really grateful if people could recommend me some good films or documentaries which involved statistics? I watched 21 last night and it's wet my appetite 😜.
Cool site Jack!
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