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The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.
The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.
The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available
.
All slides, #code and additional materials can be found at the link provided.
๐ Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
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Four best-advanced university courses on NLP & LLM to advance your skills:
1. Advanced NLP -- Carnegie Mellon University
Link: https://lnkd.in/ddEtMghr
2. Recent Advances on Foundation Models -- University of Waterloo
Link: https://lnkd.in/dbdpUV9v
3. Large Language Model Agents -- University of California, Berkeley
Link: https://lnkd.in/d-MdSM8Y
4. Advanced LLM Agent -- University Berkeley
Link: https://lnkd.in/dvCD4HR4
#LLM #python #AI #Agents #RAG #NLP
๐ฏ BEST DATA SCIENCE CHANNELS ON TELEGRAM ๐
1. Advanced NLP -- Carnegie Mellon University
Link: https://lnkd.in/ddEtMghr
2. Recent Advances on Foundation Models -- University of Waterloo
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3. Large Language Model Agents -- University of California, Berkeley
Link: https://lnkd.in/d-MdSM8Y
4. Advanced LLM Agent -- University Berkeley
Link: https://lnkd.in/dvCD4HR4
#LLM #python #AI #Agents #RAG #NLP
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Forwarded from Machine Learning with Python
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This GitHub repository is a real treasure trove of free programming books.
Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many moreโ
GitHub: https://github.com/EbookFoundation/free-programming-books
https://t.me/CodeProgrammerโญ
Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more
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https://t.me/CodeProgrammer
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Python_Data_Visualization_Create_impactful_visuals,_animations_and.rar
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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]
โก tags: #python #datascience #ai
๐ฅ By: https://t.me/Python53
โญ๏ธ BEST DATA SCIENCE CHANNELS ON TELEGRAM โญ๏ธ
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Create artificial intelligence using Python
In the video the author explains the basics of neural networks and shows how to implement your own simple #AI from scratch in #Python
In the video the author explains the basics of neural networks and shows how to implement your own simple #AI from scratch in #Python
https://t.me/Python53
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9 key concepts of artificial intelligence, explained in 7 minutes
- Tokenization
- #TextDecoding
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๐ @Python53
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๐ Building our own mini-Skynet โ a collection of 10 powerful AI repositories from big tech companies
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Microsoft provides a detailed explanation of generative AI and agent architecture: from theory to practice.
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Step-by-step assembly of your own GPT to understand how LLMs are structured "under the hood".
3. OpenAI Cookbook
An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.
4. Segment Anything and Stable Diffusion
Classic tools for computer vision and image generation from Meta and the CompVis research team.
5. Python 100 Days and Python Data Science Handbook
A powerful resource for Python and data analysis.
6. LLM App Templates and ML for Beginners
Ready-made app templates with LLMs and a structured course on classic machine learning.
If you want to delve deeply into AI or start building your own projects โ this is an excellent starting kit.
tags: #github #LLM #AI #ML
โก๏ธ https://t.me/CodeProgrammer
1. Generative AI for Beginners and AI Agents for Beginners
Microsoft provides a detailed explanation of generative AI and agent architecture: from theory to practice.
2. LLMs from Scratch
Step-by-step assembly of your own GPT to understand how LLMs are structured "under the hood".
3. OpenAI Cookbook
An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.
4. Segment Anything and Stable Diffusion
Classic tools for computer vision and image generation from Meta and the CompVis research team.
5. Python 100 Days and Python Data Science Handbook
A powerful resource for Python and data analysis.
6. LLM App Templates and ML for Beginners
Ready-made app templates with LLMs and a structured course on classic machine learning.
If you want to delve deeply into AI or start building your own projects โ this is an excellent starting kit.
tags: #github #LLM #AI #ML
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14 minutes with an Anthropic engineer will teach you more about building agents ๐ค than most devs figure out in months of trial and error ๐ .
Same guy who wrote โBuilding Effective Agentsโ, the post every AI builder has bookmarked ๐.
No fluff. No 47-tool frameworks. Just the patterns that actually work in production ๐:
โ When to use workflows vs. agents (most people get this wrong) โ
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โ When NOT to build an agent at all ๐
If youโre shipping AI products in 2026 and havenโt watched this, youโre doing it on hard mode ๐ฎ.
14 minutes. Bookmark it ๐. Watch it twice ๐.
#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts
Same guy who wrote โBuilding Effective Agentsโ, the post every AI builder has bookmarked ๐.
No fluff. No 47-tool frameworks. Just the patterns that actually work in production ๐:
โ When to use workflows vs. agents (most people get this wrong) โ
โ Why simple > clever, every single time โ
โ The orchestrator-worker pattern that scales ๐
โ When NOT to build an agent at all ๐
If youโre shipping AI products in 2026 and havenโt watched this, youโre doing it on hard mode ๐ฎ.
14 minutes. Bookmark it ๐. Watch it twice ๐.
#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts
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๐ 26 lectures on Deep Learning for free ๐ง โจ
The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. ๐๐
A good option for getting started with neural networks and Data Science. ๐ค๐
โ๏ธ Watch the playlist ๐
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#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech
The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. ๐๐
A good option for getting started with neural networks and Data Science. ๐ค๐
โ๏ธ Watch the playlist ๐
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10 Best Advanced Machine Learning Courses You Must Know in 2026 ๐ค๐
Are you looking for the Best Advanced Machine Learning Courses?โฆ If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. ๐ง ๐ก
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Are you looking for the Best Advanced Machine Learning Courses?โฆ If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. ๐ง ๐ก
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๐ Create an LLM from Scratch!
I came across a great find from Vizuara โ a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. ๐ง โจ
Most people use ChatGPT.
But only a few actually understand how it works under the hood. โ๏ธ
This playlist step by step breaks down all the key concepts without overloading with complex explanations.
๐ What you will learn:
โ The architecture of Transformer ๐๏ธ
โ The internal structure of GPT
โ Tokenization and BPE ๐งฉ
โ Attention mechanisms ๐
โ The process of training an LLM ๐
โ Full implementations in Python ๐
โ Suitable for:
โข ML engineers
โข AI enthusiasts
โข Developers entering the GenAI field
โข Anyone who is tired of explaining AI as a "black box" ๐ต๏ธ
If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini โ this material is worth watching. ๐
๐ Link to the playlist:
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu
#LLM #AI #MachineLearning #Python #GenAI #DeepLearning
โจ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
I came across a great find from Vizuara โ a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. ๐ง โจ
Most people use ChatGPT.
But only a few actually understand how it works under the hood. โ๏ธ
This playlist step by step breaks down all the key concepts without overloading with complex explanations.
๐ What you will learn:
โ The architecture of Transformer ๐๏ธ
โ The internal structure of GPT
โ Tokenization and BPE ๐งฉ
โ Attention mechanisms ๐
โ The process of training an LLM ๐
โ Full implementations in Python ๐
โ Suitable for:
โข ML engineers
โข AI enthusiasts
โข Developers entering the GenAI field
โข Anyone who is tired of explaining AI as a "black box" ๐ต๏ธ
If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini โ this material is worth watching. ๐
๐ Link to the playlist:
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu
#LLM #AI #MachineLearning #Python #GenAI #DeepLearning
โจ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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โค3
Forwarded from Machine Learning with Python
A new collection of free courses has been added:
๐ https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. ๐
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. ๐ง
What's inside:
โข Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
โข A table with lectures, descriptions, videos, notes, and authors
โข Links to the original lectures and accompanying notes
โข WIP markers for incomplete materials
โข Instructions for contributors on adding and improving notes
The idea was appreciated. ๐
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. ๐บ๏ธ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
โจ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
๐ Level up your AI & Data Science skills with HelloEncyclo โ a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
โ 13 courses live + 40+ coming soon
๐ฏ One access, lifetime updates
๐ Use code: PRESALE-BOOK-WAVE-2GFG
๐ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
๐ https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. ๐
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. ๐ง
What's inside:
โข Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
โข A table with lectures, descriptions, videos, notes, and authors
โข Links to the original lectures and accompanying notes
โข WIP markers for incomplete materials
โข Instructions for contributors on adding and improving notes
The idea was appreciated. ๐
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. ๐บ๏ธ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
โจ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
๐ Level up your AI & Data Science skills with HelloEncyclo โ a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
โ 13 courses live + 40+ coming soon
๐ฏ One access, lifetime updates
๐ Use code: PRESALE-BOOK-WAVE-2GFG
๐ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - dair-ai/ML-Course-Notes: ๐ Sharing machine learning course / lecture notes.
๐ Sharing machine learning course / lecture notes. - dair-ai/ML-Course-Notes
โค1