Quantum Theory Needs Complex Numbers. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/QT-Complex-Num
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MACHINE LEARNING
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Complex Numbers Essential for Quantum Theory in Data Science
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Snapshot Optimizers in Machine Learning and Data Science
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Learning Snapshot Optimizers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Snapshot-Optim
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PyTorch Dynamic Graphs vs Torch7 Technical Heritage
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No.
PyTorch was inspired by Torch7 which was developed at NEC Labs and NYU (in my lab).
But PyTorch supported dynamic graphs from the start, which Torch7 couldn't do. You are thinking of Torch3, which was developed at IDIAP in Switzerland. Very different beast. -
Correlation Size in Machine Learning Models
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What size is that correlation? https://
bit.ly/3uNKyiz #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Google DeepMind AI Surpasses Human Mathematicians for First Time
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Les pessimistes minimiseront encore, à coups de "oui mais…" https://
korii.slate.fr/tech/ia-google
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Ronan’s Torch Framework Evolution From PhD to NEC Labs
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Here is the full history in all its gory details. Ronan developed Torch3 during his PhD at IDIAP.
He then developed Torch4 in 2004, but quickly abandoned it. In 2006, he started Torch5, and completed it while at NEC Labs. This was written in C (Ronan positively hated C++ at the -
KHstats: Creating Annotated Forest Plots with ggplot2
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KHstats – Annotated Forest Plots using ggplot2 https://
bit.ly/418C4yF #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Open Pretrained Transformers: Stanford MLSys Deep Learning Advances
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Open Pretrained Transformers – Susan Zhang | Stanford MLSys #77 https://
youtube.com/watch?v=p9IxoS
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Essential Resources for Data Science ML AI and LLM Learning
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End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
LLMs
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts -
Planning Methods and World Models for Robotic Grasping Tasks
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As I have argued, the winning combination would be planning-based methods using trained world models.
But with such simple kinematics/dynamics and relatively simple grasping tasks, trainable world models are superfluous.