Forwarded from Github Top Repositories
π DataTalksClub/data-engineering-zoomcamp caught my eye on GitHub Trending today.
π https://github.com/DataTalksClub/data-engineering-zoomcamp
π Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here ππΌ
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The Data Engineering Zoomcamp is a free 9-week course that covers the fundamentals of data engineering. It's designed to help you build an end-to-end data pipeline from scratch, with hands-on experience using industry-standard tools and best practices.
Key features of the course include structured modules, hands-on workshops, and a final project to reinforce your learning. You'll learn about
The course is suitable for anyone with basic coding experience and familiarity with
The course has a strong community and support system, with a dedicated #course-data-engineering channel on Slack for discussions and troubleshooting.
The course is taught by experienced instructors, including Alexey Grigorev and Michael Shoemaker, and is sponsored by companies like Kestra and Bruin.
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So, what are you waiting for? Join the course and start building your skills today - it's a
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π§ Channel: https://t.me/GithubRe
π https://github.com/DataTalksClub/data-engineering-zoomcamp
π Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here ππΌ
ββββββββββββββββββββββββββββββ
The Data Engineering Zoomcamp is a free 9-week course that covers the fundamentals of data engineering. It's designed to help you build an end-to-end data pipeline from scratch, with hands-on experience using industry-standard tools and best practices.
Key features of the course include structured modules, hands-on workshops, and a final project to reinforce your learning. You'll learn about
containerization, infrastructure as code, workflow orchestration, data warehousing, and analytics engineering. The course is suitable for anyone with basic coding experience and familiarity with
SQL. No prior data engineering experience is necessary. You can enroll in the course by registering for the next cohort or following the self-paced learning path.The course has a strong community and support system, with a dedicated #course-data-engineering channel on Slack for discussions and troubleshooting.
The course is taught by experienced instructors, including Alexey Grigorev and Michael Shoemaker, and is sponsored by companies like Kestra and Bruin.
Overall, the Data Engineering Zoomcamp is a great resource for anyone looking to learn data engineering fundamentals and build a career in the field.
So, what are you waiting for? Join the course and start building your skills today - it's a
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The Anatomy of an LLM π
A visual walk through the machinery inside a large language model: from raw text, to tokens, to vectors, to attention, to the next token. βοΈπ§¬
π Link: https://www.royvanrijn.com/anatomy-of-an-llm/
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Roy van Rijn
The Anatomy of an LLM | Interactive Visual Guide to How Language Models Work
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Forwarded from Machine Learning
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4. Algorithms for ML algorithmsbook.com
5. Deep Learning deeplearningbook.org
6. Reinforcement Learning andrew.cmu.edu/course/10-703/
7. Distributional Reinforcement Learning direct.mit.edu/books/oa-monog
8. Multi Agent Reinforcement Learning marl-book.com
9. Agents in the Long Game of AI direct.mit.edu/books/oa-monog
10. Fairness and Machine Learning fairmlbook.org
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1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/
2. Understanding Deep Learning udlbook.github.io/udlbook/
3. Introduction to Machine Learning Systems β― Vol 1: mlsysbook.ai/vol1/assets/do β― Vol 2: mlsysbook.ai/vol2/assets/do
4. Algorithms for ML algorithmsbook.com
5. Deep Learning deeplearningbook.org
6. Reinforcement Learning andrew.cmu.edu/course/10-703/
7. Distributional Reinforcement Learning direct.mit.edu/books/oa-monog
8. Multi Agent Reinforcement Learning marl-book.com
9. Agents in the Long Game of AI direct.mit.edu/books/oa-monog
10. Fairness and Machine Learning fairmlbook.org
11. Probabilistic Machine Learning
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Forwarded from Data Analytics
Transformers & LLMs Cheatsheet.pdf
1.4 MB
The only LLM cheat sheet you'll ever need π
Covers the main concepts, architectures, and practical applications.
### Basics
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Covers the main concepts, architectures, and practical applications.
### Basics
- Tokens (tokenization, BPE)
- Embeddings (cosine similarity)
- Attention mechanism (Attention formula, Multi-Head Attention)
### Transformer architecture and its variants
- BERT (models with only an encoder)
- GPT (models with only a decoder)
- T5 (models with an encoder and a decoder)
### Large language models (LLMs)
- Prompting (context length, Chain-of-Thought)
- Pre-training (SFT, PEFT/LoRA)
- Preference tuning (Reward Model, Reinforcement Learning)
- Optimizations (Mixture of Experts, Distillation, Quantization)
### Applications
- LLM-as-a-Judge (LaaJ)
- RAG (Retrieval-Augmented Generation)
- Agents (ReAct)
- Reasoning models (Scaling)
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Forwarded from Data Analytics
The ultimate guide to fine tuning.pdf
15.2 MB
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
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π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
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π Lifetime access to HelloEncyclo β every AI, ML & Data Science course ever built β for ~$41. Once. Forever.
This isn't a drill. This isn't a rerun.
This is the founding-member price β and it disappears the moment the first 250 seats globally are gone.
β 13 courses live right now
β 40+ more in 2β3 weeks
β Every future course included automatically
β 15-day money-back β full refund, no questions
Code: PRESALE-BOOK-WAVE-2GFG
(Log in with Gmail Β· valid once Β· applies at checkout)
π First 5. That's it.
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