Learn Deep Learning Cheat Sheet
@followers #DeepLearning #neuralnetworks #ArtificialIntelligence #machinelearning #ArtificialNeuralNetworks
@followers #DeepLearning #neuralnetworks #ArtificialIntelligence #machinelearning #ArtificialNeuralNetworks
β€3
Forwarded from Machine Learning
Agentic AI is the future.
If you want to become god-level with AI agents, save these 10 GitHub repos:
1 Awesome LLM Apps
π https://github.com/Shubhamsaboo/awesome-llm-apps
2 Generative AI for Beginners
π https://github.com/microsoft/generative-ai-for-beginners
3 LLM Course
π https://github.com/mlabonne/llm-course
4 Prompt Engineering Guide
π https://github.com/dair-ai/Prompt-Engineering-Guide
5 AI Agents for Beginners
π https://github.com/microsoft/ai-agents-for-beginners
6 AI Agents Projects
π https://github.com/ashishpatel26/500-AI-Agents-Projects
7 Hugging Face Agents Course
π https://github.com/huggingface/agents-course
8 Awesome AI Agents
π https://github.com/e2b-dev/awesome-ai-agents
9 GenAI Agents
π https://github.com/NirDiamant/GenAI_Agents
10 Agents Towards Production
π https://github.com/NirDiamant/agents-towards-production
Anything else you'd add?
If you want to become god-level with AI agents, save these 10 GitHub repos:
1 Awesome LLM Apps
π https://github.com/Shubhamsaboo/awesome-llm-apps
2 Generative AI for Beginners
π https://github.com/microsoft/generative-ai-for-beginners
3 LLM Course
π https://github.com/mlabonne/llm-course
4 Prompt Engineering Guide
π https://github.com/dair-ai/Prompt-Engineering-Guide
5 AI Agents for Beginners
π https://github.com/microsoft/ai-agents-for-beginners
6 AI Agents Projects
π https://github.com/ashishpatel26/500-AI-Agents-Projects
7 Hugging Face Agents Course
π https://github.com/huggingface/agents-course
8 Awesome AI Agents
π https://github.com/e2b-dev/awesome-ai-agents
9 GenAI Agents
π https://github.com/NirDiamant/GenAI_Agents
10 Agents Towards Production
π https://github.com/NirDiamant/agents-towards-production
Anything else you'd add?
GitHub
GitHub - Shubhamsaboo/awesome-llm-apps: 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. - Shubhamsaboo/awesome-llm-apps
β€4π₯4
Forwarded from Data Analytics
If you want to get GOAT-level at software engineering,
save & star these 10 GitHub repos:
1 System design academy
β³ https://github.com/systemdesign42/system-design-academy
2 Public APIs
β³ https://github.com/public-apis/public-apis
3 Tech interview handbook
β³ https://github.com/yangshun/tech-interview-handbook
4 Coding interview university
β³ https://github.com/jwasham/coding-interview-university
5 Engineering leadership
β³ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader
6 Freecodecamp
β³ https://github.com/freeCodeCamp/freeCodeCamp
7 Developer roadmaps
β³ https://github.com/kamranahmedse/developer-roadmap
8 Path to senior engineer handbook
β³ https://github.com/jordan-cutler/path-to-senior-engineer-handbook
9 Free programming books
β³ https://github.com/EbookFoundation/free-programming-books
10 Build your own x
β³ https://github.com/codecrafters-io/build-your-own-x
Anything else you'd add?
β» Repost to help others become better engineers.
https://t.me/DataAnalyticsX π§π»βπ»
save & star these 10 GitHub repos:
1 System design academy
β³ https://github.com/systemdesign42/system-design-academy
2 Public APIs
β³ https://github.com/public-apis/public-apis
3 Tech interview handbook
β³ https://github.com/yangshun/tech-interview-handbook
4 Coding interview university
β³ https://github.com/jwasham/coding-interview-university
5 Engineering leadership
β³ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader
6 Freecodecamp
β³ https://github.com/freeCodeCamp/freeCodeCamp
7 Developer roadmaps
β³ https://github.com/kamranahmedse/developer-roadmap
8 Path to senior engineer handbook
β³ https://github.com/jordan-cutler/path-to-senior-engineer-handbook
9 Free programming books
β³ https://github.com/EbookFoundation/free-programming-books
10 Build your own x
β³ https://github.com/codecrafters-io/build-your-own-x
Anything else you'd add?
β» Repost to help others become better engineers.
https://t.me/DataAnalyticsX π§π»βπ»
β€7π2
Forwarded from Learn Python Coding
π° 15-Hour "Python for Data Science" Course
β‘οΈ Learn Python for Data Science
https://enghusseinsheikho.substack.com/p/15-hour-python-for-data-science-course?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
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β‘οΈ Learn Python for Data Science
https://enghusseinsheikho.substack.com/p/15-hour-python-for-data-science-course?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
#Python #DataScience #Coding #Tech #Learning #FreeCourse
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€5π3π1
then save these 10 GitHub repos:
β https://github.com/microsoft/generative-ai-for-beginners
β https://github.com/mlabonne/llm-course
β https://github.com/rasbt/LLMs-from-scratch
β https://github.com/dair-ai/Prompt-Engineering-Guide
β https://github.com/Shubhamsaboo/awesome-llm-apps
β https://github.com/openai/openai-cookbook
β https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
β https://github.com/NirDiamant/GenAI_Agents
β https://github.com/aishwaryanr/awesome-generative-ai-guide
β https://github.com/anthropics/courses
===
Get a copy right now:
β https://systemdesign42.github.io/ai-engineering-playbook/
#GenerativeAI #GitHub #AI #LLM #MachineLearning #TechTips
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β€10
π₯ Free IT & Dev Study Kits β 2026 Prep, No Signup
If youβre prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip β cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees.
π Cert E-Book β covers Cisco & AWS fundamentals, good for first-time cert takers
β https://bit.ly/4yrk1Ti
πͺ Online Free Course β structured path, works as a refresher before exams
β https://bit.ly/4hUprRP
βοΈ Free AI Materials β LLM basics to fine-tuning practice notebooks
β https://bit.ly/4yt1iXy
π Cloud Study Guide β cheat-sheet style, handy for interview prep
β https://bit.ly/4el4Eod
π§ Free Mock Exam β test yourself before booking the real thing
β https://bit.ly/4sbWlkl
π Save this or forward it to your dev/study group β good resources are worth sharing. πͺ
π Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v
π² Personalized help: https://wa.link/xd2fu6
#Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers
If youβre prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip β cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees.
π Cert E-Book β covers Cisco & AWS fundamentals, good for first-time cert takers
β https://bit.ly/4yrk1Ti
πͺ Online Free Course β structured path, works as a refresher before exams
β https://bit.ly/4hUprRP
βοΈ Free AI Materials β LLM basics to fine-tuning practice notebooks
β https://bit.ly/4yt1iXy
π Cloud Study Guide β cheat-sheet style, handy for interview prep
β https://bit.ly/4el4Eod
π§ Free Mock Exam β test yourself before booking the real thing
β https://bit.ly/4sbWlkl
π Save this or forward it to your dev/study group β good resources are worth sharing. πͺ
π Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v
π² Personalized help: https://wa.link/xd2fu6
#Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers
β€7π3π₯2
πΎ Free Deep Learning Course from NASA
We found a practical course on applying modern AI methods in astronomy and astrophysics.
It covers neural network architectures, generative models, training on scientific data, simulation-based inference, and research AI agents.
β Link to the course
https://deeplearning4astro.com/
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β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
We found a practical course on applying modern AI methods in astronomy and astrophysics.
It covers neural network architectures, generative models, training on scientific data, simulation-based inference, and research AI agents.
β Link to the course
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#AI #DeepLearning #NASA #Astronomy #MachineLearning #DataScience
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
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π 637 interactive modules on ML and AI
On VizLearn, you can visually explore:
π«‘ Gradient descent;
π«‘ SVM and PCA;
π«‘ Bayes' theorem;
π«‘ BPE tokenization;
π«‘ Query, Key, and Value;
π«‘ KV cache;
π«‘ Quantization;
π«‘ Neural networks and LLMs.
Change the input data and immediately see the results of the calculations.
βοΈ Link to the tutorial
https://enghusseinsheikho.substack.com/p/637-interactive-modules-on-ml-and?r=3hwnr8&utm_campaign=post&utm_medium=web
On VizLearn, you can visually explore:
π«‘ Gradient descent;
π«‘ SVM and PCA;
π«‘ Bayes' theorem;
π«‘ BPE tokenization;
π«‘ Query, Key, and Value;
π«‘ KV cache;
π«‘ Quantization;
π«‘ Neural networks and LLMs.
Change the input data and immediately see the results of the calculations.
βοΈ Link to the tutorial
https://enghusseinsheikho.substack.com/p/637-interactive-modules-on-ml-and?r=3hwnr8&utm_campaign=post&utm_medium=web
β€9
The 25 Best Free Resources for Learning AI in 2026
Learning artificial intelligence in 2026 is both easier and harder than it was a couple of years ago. Easier, because the best courses from Stanford and MIT, books by leading researchers, and hands-on lessons from Hugging Face are all openly available. Harder, because there is now far too much material, and the models and tools change every week. We have collected 25 proven free resources and arranged them by stage: from mathematics to LLMs, agents, and reading the latest papers.
Read: https://enghusseinsheikho.substack.com/p/the-25-best-free-resources-for-learning?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Learning artificial intelligence in 2026 is both easier and harder than it was a couple of years ago. Easier, because the best courses from Stanford and MIT, books by leading researchers, and hands-on lessons from Hugging Face are all openly available. Harder, because there is now far too much material, and the models and tools change every week. We have collected 25 proven free resources and arranged them by stage: from mathematics to LLMs, agents, and reading the latest papers.
Read: https://enghusseinsheikho.substack.com/p/the-25-best-free-resources-for-learning?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
β€5