🔖 Google DeepMind has released a book titled "How to Scale Your Model."
It explains how to scale and deploy models even with limited computing resources.
It's useful for those who work on optimizing and deploying ML models.
⛓ Link to the book
https://jax-ml.github.io/scaling-book
It explains how to scale and deploy models even with limited computing resources.
It's useful for those who work on optimizing and deploying ML models.
⛓ Link to the book
https://jax-ml.github.io/scaling-book
❤5
Forwarded from Machine Learning with Python
🔖 A comprehensive collection of resources on MLOps
We've found a useful collection for those who want to go beyond just training models and delve into their deployment and operation.
This repository contains the best materials on deploying, monitoring, automating ML pipelines, CI/CD, and other practices that are essential for production systems.
⛓ Link to GitHub
https://github.com/visenger/awesome-mlops
We've found a useful collection for those who want to go beyond just training models and delve into their deployment and operation.
This repository contains the best materials on deploying, monitoring, automating ML pipelines, CI/CD, and other practices that are essential for production systems.
⛓ Link to GitHub
https://github.com/visenger/awesome-mlops
❤2
Forwarded from Machine Learning with Python
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Anthropic Academy has announced 13 free AI courses. The courses cover the following topics:
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5. Claude Code in Action
6. Introduction to Model Context Protocol (MCP)
7. MCP: Advanced Topics
8. AI Fluency for Students
9. AI Fluency for Educators
10. Teaching AI Fluency
11. AI Fluency for Small Businesses
12. Claude with Amazon Bedrock
13. Claude with Google Cloud Vertex AI
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❤4
"The Mathematics of Bitcoin" is a concise work that analyzes Bitcoin from a mathematical perspective. 📊
It utilizes probability theory, stochastic processes, martingales, combinatorics, and special functions to explore the mechanisms of the Bitcoin protocol. 🧮
In particular, the authors examine the probability of double-spending, the profitability of mining, block generation, miner strategies, and the resilience of the protocol. ⛏️
If you want to delve deeper, I also recommend "Bitcoin and Cryptocurrency Technologies" from Princeton University. This is a much broader introduction to cryptographic hash functions, digital signatures, consensus, Proof of Work, mining, transactions, anonymity, security, and the incentive system in cryptocurrencies. 🎓
Save both of these resources. They are excellent materials if you're interested in understanding the mathematics and technical mechanisms of Bitcoin. 💾
The Mathematics of Bitcoin:
https://arxiv.org/pdf/2003.00001
Bitcoin and Cryptocurrency Technologies:
https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf
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It utilizes probability theory, stochastic processes, martingales, combinatorics, and special functions to explore the mechanisms of the Bitcoin protocol. 🧮
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Save both of these resources. They are excellent materials if you're interested in understanding the mathematics and technical mechanisms of Bitcoin. 💾
The Mathematics of Bitcoin:
https://arxiv.org/pdf/2003.00001
Bitcoin and Cryptocurrency Technologies:
https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf
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Forwarded from Remote Jobs — Daily LinkedIn Picks 💼
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Forwarded from Udemy Free Coupons
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Forwarded from Machine Learning with Python
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