ashpyxia

Extremely powerful bass and rolling shutter effect can make your car look like rubber, especially in slow motion [source and full video: buff.ly/2FMOrXH]

Did you ever want to learn how to read ROC curves? 📈🤔 This is something you will encounter a lot when analyzing the performance of machine learning models. Let me help you understand them 👇

We have also just released the PDF Version of our Physics-based Deep Learning book. It can come in handy if you want to read it offline in one go: arxiv.org/pdf/2109.05237…

Solving linear systems comes with different flavors. en.wikipedia.org/wiki/Least_squ…

On popular demand, I have open-sourced my book: "How To Become A Data Scientist In 30 Days". Grab your free copy from the github repository: github.com/abhishekkrthak…

🐙 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…

🧠 Would you like to learn about Graph Neural Networks? Stanford is organizing a workshop with leaders of academia and industry. 🤖 The schedule looks amazing and will be streamed for free! You can register at snap.stanford.edu/graphlearning-…

13 Powerful Psychology Hacks To Improve Your Concentration And Build Self Discipline | Thread

Some kinds of data and their preferred neural network types: ◆ Tabular data: Densely connected neural networks. ◆ Images: 2D Convolutional neural networks (a.k.a Convnets). ◆Texts: Recurrent Neural Networks(RNNs), transformers, or 1D Convnets.

“The club is above everything -- even above the best player in the world" trib.al/HxKqgLV

5 differences between a research paper and review paper @PhDspeaks @PhDVoice @PhDfriendSana @AcademicDilemma #phd #research #researcher #AcademicTwitter #AcademicChatter #phdlife #phdtips

I think it's healthier, productive, and more realistic to give yourself a year or two to properly study and practice machine learning. Don't force the knowledge or set unrealistic goals. Spread out tasks and lectures. Write custom code and train models. It'll be a lot more fun.

Then I ended up rewatching my fav series

Raptors on Super Heavy

Tesla AI Day August 19th

People in Japan donated their old phones to make 5,000 Tokyo 2020 Olympic medals

High end gaming PCs are too powerful for California and several other states new regulations to handle. trib.al/PA4E9FR

People in Japan donated their old phones to make 5,000 Tokyo 2020 Olympic medals

Do not use your energy to worry. Use your energy to believe, to create, to learn, to think and to grow. —Professor Richard Feynman

“I don’t spend my time pontificating about high-concept things; I spend my time solving engineering and manufacturing problems.” - Elon Musk