ashpyxia retweeted
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]
ashpyxia retweeted
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 👇
ashpyxia retweeted
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.pdf
ashpyxia retweeted
Solving linear systems comes with different flavors. en.wikipedia.org/wiki/Least_…
ashpyxia retweeted
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/abhishekkrthakur/…
ashpyxia retweeted
🐙 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/MLOps-B…
ashpyxia retweeted
🧠 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/graphlearn…
ashpyxia retweeted
13 Powerful Psychology Hacks To Improve Your Concentration And Build Self Discipline
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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.
ashpyxia retweeted
“The club is above everything -- even above the best player in the world" trib.al/HxKqgLV
ashpyxia retweeted
5 differences between a research paper and review paper @PhDspeaks @PhDVoice @PhDfriendSana @AcademicDilemma #phd #research #researcher #AcademicTwitter #AcademicChatter #phdlife #phdtips
ashpyxia retweeted
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.
ashpyxia retweeted
High end gaming PCs are too powerful for California and several other states new regulations to handle. trib.al/PA4E9FR
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Do not use your energy to worry. Use your energy to believe, to create, to learn, to think and to grow.
—Professor Richard Feynman
