Parsa (@RealParsaa) profile picture

Parsa

@RealParsaa
Joined October 2018
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  • Following220
  • Followers13
I'd like to start 2024 with some thoughts on the state of optimization theory. To begin with, let me quote Nesterov's 2003 book: "The main fact, which should be known to any person dealing with optimization models, is that, in general, the optimization problems are unsolvable" 🧵
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Fourier transform on groups turns convolution into multiplication. For non-commutative groups, it is matrix-matrix multiplication though … en.wikipedia.org/wiki/Fourie… en.wikipedia.org/wiki/Convol…
Image from Gabriel Peyré (@gabrielpeyre)
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Excited to be launching a series of short videos (5 min or less) to optimize the training performance of your PyTorch models! Covering - mixed-precision training - multi-GPU training strategies - Compiling PyTorch models - and finding good batch sizes 🔗 lightning.ai/pages/courses/d…
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Replying to @marktenenholtz
I have not ever found better material in this topic than this course youtube.com/playlist?list=PL… from @rasbt Lectures from 8 to 12. The entre course is amazing but the model evaluation lectures are incredible.
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6 System Design Interview Questions 1. Instagram Design - bit.ly/3BqamCL 2. YouTube Design - bit.ly/3bbNnAN 3. URL Shortner - bit.ly/3bbNpZr 4. WhatsApp - bit.ly/3SbA9Eu 5. Parking Lot - bit.ly/3SaTyFM 4. LMS - bit.ly/3Jk9emc
Image from Javarevisited (@javarevisited)
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5 Software Engineering Practices to Become a Better Data Scientist by Frank Andrade buff.ly/3Irnmsb
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1. Jupyter Notebooks: youtube.com/watch?v=HW29067q… 2. Pandas: youtube.com/watch?v=e60ItwlZ… 3. Matplotlib: youtube.com/watch?v=nzKy9GY1… 4. Seaborn: youtube.com/watch?v=6GUZXDef…
Image from Santiago (@svpino)
Image from Santiago (@svpino)
Image from Santiago (@svpino)
Image from Santiago (@svpino)
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The Deep Learning Spring 2021 class materials are now fully available on the CDS website! cds.nyu.edu/deep-learning/
Image from NYU Center for Data Science (@NYUDataScience)
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My recommendations to start with machine learning math: • Statistics 110: Probability — Harvard University • Essence of Linear Algebra — 3Blue1Brown • Multivariate Calculus — Coursera Links and 3 additional free resources here: svpino.medium.com/are-you-re…
Image from Santiago (@svpino)
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I wrote about DeepMind's move into football, its work with Liverpool FC, and its attempts to create an automated virtual assistant coach, for @WiredUK wired.co.uk/article/deepmind…
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10 advanced Python 🐍 concepts that you want to look into: • Slicing • Itertools • Closures • Lambdas • Hashability • Decorators • Generators • Concurrency • Comprehensions • Context managers Would you add anything else to this list?
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Greatest things are accomplished when you keep on trying even when there is no hope at all. Never give up.
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If you want to learn Machine Learning and you don't want to wait for freeCodeCamp to finish the new Data Science curriculum... you don't have to. @sannykimchi has built a cohesive sequence of free math and ML resources for you: Open ML University. curriculum.openmlu.com/
Image from Quincy Larson (@ossia)
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Something essential for aspiring machine learning practitioners is to find an area where they can specialize and build their reputation. I've met many people who focus on a specific niche and have built a career in it. Here are some examples of things you could do: ↓ 1/5
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If you are looking to get a background in math before starting with machine learning, here is all the material you need covering the following topics: • Probabilities & Statistics • Linear Algebra • Multivariate Calculus More than enough to get started. ↓ 1/7
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About getting a job with machine learning, things you should do during an interview, and some random thoughts that may help you land a job ↓
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Please, don't do this.
Image from Santiago (@svpino)
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Working on problems is the best way to learn machine learning. Here are 10 problems that can get you started. ▫️ From Kaggle ▫️ Already solved ▫️ Expanding different fields ▫️ Large community around them ▫️ Extremely fun Ready for you to knock them out of the park!
Image from Santiago (@svpino)
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16 questions that I really like to ask during interviews for machine learning candidates. These will help you practice, but more importantly, they will help you think and find ways to improve! Let's do this! ☕️👇
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Naval (@naval) profile picture
Naval
@naval31 May 2018
How to Get Rich (without getting lucky):
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