Forwarded from Machine Learning
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A Powerful Alternative to Pandas π
This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. βοΈ
To get started, simply replace a single import:
Performance Benchmarks demonstrate speed improvements in various use cases. π
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
#Pandas #Python #DataScience #Performance #Fireducks #BigData
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This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. βοΈ
To get started, simply replace a single import:
import fireducks.pandas as pd
Performance Benchmarks demonstrate speed improvements in various use cases. π
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
#Pandas #Python #DataScience #Performance #Fireducks #BigData
β¨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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A collection of resources on MLOps for those who want to understand how machine learning systems are brought to production. ππ€
https://github.com/visenger/awesome-mlops
#MLOps #MachineLearning #DevOps #AI #DataScience #TechResources
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https://github.com/visenger/awesome-mlops
#MLOps #MachineLearning #DevOps #AI #DataScience #TechResources
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Forwarded from Machine Learning
π Over 300 real-world case studies of ML systems from top companies. π€
We found a repository that collects genuine ML engineering experience β not theory from textbooks, but real stories of implementing models in production. π
Inside, you'll find case studies from Uber, Netflix, Google, and other companies: how they built the architecture, what problems arose, where the systems failed, and what solutions helped them recover. ποΈ
β Link to GitHub
https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
#MachineLearning #MLCaseStudies #DataScience #Engineering #Uber #Netflix
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βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
We found a repository that collects genuine ML engineering experience β not theory from textbooks, but real stories of implementing models in production. π
Inside, you'll find case studies from Uber, Netflix, Google, and other companies: how they built the architecture, what problems arose, where the systems failed, and what solutions helped them recover. ποΈ
β Link to GitHub
https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
#MachineLearning #MLCaseStudies #DataScience #Engineering #Uber #Netflix
β¨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
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Forwarded from Udemy Free Coupons
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π· Category: development
π Language: English (US)
π₯ Students: 140,381 students
βοΈ Rating: 3.9/5.0 (1,402 reviews)
πββοΈ Enrollments Left: 4
β³ Expires In: 0D:28H:28M
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