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How to read research papers for machine learning?
( Advice from Andrew Ng, one of the most well known machine learning educators on the internet )
( Advice from Andrew Ng, one of the most well known machine learning educators on the internet )
Step 1 : Collect relevant resources.
The internet is filled with information, blog posts, videos, GitHub repositories etc.
You are no machine, search for a few resources online, collect and organize them.
These could be medium posts, blog posts, GitHub repos etc.
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The internet is filled with information, blog posts, videos, GitHub repositories etc.
You are no machine, search for a few resources online, collect and organize them.
These could be medium posts, blog posts, GitHub repos etc.
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Step 2 : Compile them to a list and skim through roughly 10% of each of the resources.
Let's say you like one of those papers a lot and you read through the entire thing, you might end up reading another research paper from the citations but maybe not the entire thing.
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Let's say you like one of those papers a lot and you read through the entire thing, you might end up reading another research paper from the citations but maybe not the entire thing.
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This way you will end up going through each resource in your list, maybe not a 100% but you'll have a rough idea about it. ( not to mention the extra papers you read through the citations and what not)
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According to Andrew Ng, reading 5-20 papers will give you a basic understanding of subject, 50-100 will give you more than very good knowledge about it.
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Step 3: How do you read a paper?
You could read it on your laptop, iPad or even physical, read in a way that works for you.
(Fun Fact : Andrew personally prefers physical papers)
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You could read it on your laptop, iPad or even physical, read in a way that works for you.
(Fun Fact : Andrew personally prefers physical papers)
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I've spent over 3 hours on this thread and I've gotten a bunch of school work.
If you could support me by considering to follow me or liking my content, it would mean the world me, it takes a lot of effort to make this content.
Part 2 of this thread coming soon.
(7 / 7)
If you could support me by considering to follow me or liking my content, it would mean the world me, it takes a lot of effort to make this content.
Part 2 of this thread coming soon.
(7 / 7)
