Interview with an ML Undergrad Researcher ft Lironne!
beacoder beacoder
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 Published On Aug 15, 2020

I love exploring different streams of CS that people take! Even within ML there is a wide array of paths that one may embark in. Lironne has chosen to take more of an academic one and is leaning towards doing more and more research (as opposed to engineering). It's so cool and inspiring to meet and see someone in the process of preparing for grad school applications, writing papers, going to conferences, and just being an all around amazing talent! I hope you enjoy!   / lironuchka  

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My monitor which I 100% recommend and is amazing for programming but only buy if you're responsible but honestly it was a pretty good deal for its size, quality, the fact that it's curved and the fact that it can charge and display my 15 inch macbook with a single cable
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Some resources you can use to start learning ML/DL
1. Coursera (bottom-up learning) https://www.coursera.org/specializati...
2. FastAI (top-down learning) https://www.fast.ai/
3. Udacity https://www.udacity.com/course/intro-...

Some resources for learning math
1. https://khanacademy.com

Some resources for learning the intuition behind math / deep learning
1. 3Blue1Brown

Few paper resources
1. https://paperswithcode.com/
2. https://arxiv.org/
3. 2 minute papers!    / @twominutepapers  

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