Data Science | Machine Learning with Python for Researchers
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Admin: @HusseinSheikho

The Data Science and Python channel is for researchers and advanced programmers

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⭐️ InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.

pip install inpars

🖥 Github: https://github.com/zetaalphavector/inpars

📕 Paper: https://arxiv.org/abs/2307.04601v1

🚀 Dataset: https://paperswithcode.com/dataset/beir

https://t.iss.one/DataScienceT
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📃 File Transfer using UDP Sockets in Python.

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🔥 Generative Pretraining in Multimodality

Model can take in any single-modality or multimodal data input indiscriminately through a one-model-for-all autoregressive training process.

🖥 Github: https://github.com/baaivision/emu

📕 Paper: https://arxiv.org/abs/2307.05222v1

🚀 Dataset: https://paperswithcode.com/dataset/mmc4

https://t.iss.one/DataScienceT
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machinelearningAIDeep_resume.pdf
45.4 MB
Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data

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Are you looking to break into Machine Learning?

Here is a great place to start:

This is the best video series about Neural Networks for anyone who wants to understand how they work.

https://www.3blue1brown.com/topics/neural-networks

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Get up to speed on Large Language Models with these two free cheat sheets

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Forwarded from Eng. Hussein Sheikho 👨‍💻
This channels is for Programmers, Coders, Software Engineers.

0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages

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