Kaushil Kundalia

Left: MIT computer scientist Katie Bouman with the stacks of hard drives containing data of the first image of a black hole. Right: MIT computer scientist Margaret Hamilton with the code her team wrote that put a man on the moon. #BlackHoleWeek #BlackHole #WomenInSTEM

that feeling when distractions melt away and focus emerges

@aicha2evans I'm a CS student with proven record of working on hard, impactful problems, and inherent quality to ask (a lot of) questions. Long shot-but can I intern at @zoox? I tried applying online but didn't get through. I'm passionate, and undeterred.

How to Win (without talent or luck):

Square is considering building a Bitcoin mining system based on custom silicon and open source for individuals and businesses worldwide. If we do this, we’d follow our hardware wallet model: build in the open in collaboration with the community. First some thoughts and questions.

🐙 MLOps Basics 🐙 This is really cool! It includes a set of hands-on guides to understand the basics of MLOps. From building the machine learning model to deploying it. It looks very useful to learn about the technology stack for ML engineering. github.com/graviraja/MLOp…

@reddit Honest unfiltered comments

"What made you join Reddit?" "I like following subjects more than people."

people make decisions based on emotion then wrap random logic around it to justify it. emotions commit the crime, logic does the coverup

@ajulu_ @gaganbiyani Just curious to know what does CBC mean ?

@gaganbiyani Huge. CBC's are the Future

There are 4 instructors who have made over $100K each on Maven. That's just in the first 3 months. 🤯

🙏🏽🙏🏽🙏🏽 Thank you Nattu. I will treasure the return present & wear it with pride... @Natarajan_91

In case you don't read Turkish: "Computer scientists, by nature, don't respect data. They have traditionally been taught that the algorithm was the thing, and that data was just meat to be passed through a sausage grinder."

@chipro A noob question but what does SME mean?

Why no/low-code platforms are exciting In most ML projects, subject matter expertise is only used for labels. In most successful ML projects, SME is also used for feature engineering, error analysis, reranking predictions, etc. No/low-code allows SMEs to get directly involved!

JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks pdf: arxiv.org/pdf/2101.07555… abs: arxiv.org/abs/2101.07555

#Python tip: Hard-coded constants should use the optional underscore as a thousands separator: >>> x = 1_234_567 Also, you can output numbers in that format: >>> f'{x:_d}' '1_234_567' Or with commas: >>> f'{x:,d}' '1,234,567' 1/

Making slides for my course. Trying my best to prepare students for their machine learning job in the industry. What did you wish you knew before you deployed your first ML model?

🎉 traingenerator is live! 🎉 Generate template code for machine learning with a simple web UI (demo 👇). Supports @PyTorch & #scikitlearn, exports to .py, @ProjectJupyter notebook, or Colab. Built w/ @streamlit 🧙 Live: traingenerator.jrieke.com 💻 Code: github.com/jrieke/trainge…

@whitehatjunior why are you accepting only female tutors? Why such gender bias? Are male tutors not capable enough to teach?

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