Python Courses & Resources
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Master Python with step-by-step courses โ€“ from basics to advanced projects and practical applications.
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๐Ÿ”ฅ MIT has updated its famous course 6.S191: Introduction to Deep Learning.

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.

๐Ÿ“Œ 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

https://t.me/CodeProgrammer โœ…
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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

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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 more โœ‹

GitHub: https://github.com/EbookFoundation/free-programming-books

https://t.me/CodeProgrammer โญ
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Python_Data_Visualization_Create_impactful_visuals,_animations_and.rar
1.4 GB
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

โšก tags: #python #datascience #ai

๐Ÿ–ฅ By: https://t.me/Python53

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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

https://t.me/Python53
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9 key concepts of artificial intelligence, explained in 7 minutes

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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".

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An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.

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Classic tools for computer vision and image generation from Meta and the CompVis research team.

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tags: #github #LLM #AI #ML

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14 minutes with an Anthropic engineer will teach you more about building agents ๐Ÿค– than most devs figure out in months of trial and error ๐Ÿ› .

Same guy who wrote โ€œBuilding Effective Agentsโ€, the post every AI builder has bookmarked ๐Ÿ“‘.

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โ†’ When to use workflows vs. agents (most people get this wrong) โŒ
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14 minutes. Bookmark it ๐Ÿ“Œ. Watch it twice ๐Ÿ‘€.

#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts
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๐Ÿ”– 26 lectures on Deep Learning for free ๐Ÿง โœจ

The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. ๐Ÿš€๐Ÿ“š

A good option for getting started with neural networks and Data Science. ๐Ÿค–๐Ÿ“Š

โ›“๏ธ Watch the playlist ๐Ÿ‘‡
https://www.youtube.com/playlist?list=PLgPbN3w-ia_PeT1_c5jiLW3RJdR7853b9

#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech
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10 Best Advanced Machine Learning Courses You Must Know in 2026 ๐Ÿค–๐Ÿ“š

Are you looking for the Best Advanced Machine Learning Courses?โ€ฆ If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. ๐Ÿง ๐Ÿ’ก

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Forwarded from Data Analytics
๐Ÿš€ 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. ๐Ÿง โœจ

Most people use ChatGPT.
But only a few actually understand how it works under the hood. โš™๏ธ

This playlist step by step breaks down all the key concepts without overloading with complex explanations.

๐Ÿ“š What you will learn:
โ†’ The architecture of Transformer ๐Ÿ—๏ธ
โ†’ The internal structure of GPT
โ†’ Tokenization and BPE ๐Ÿงฉ
โ†’ Attention mechanisms ๐Ÿ”
โ†’ The process of training an LLM ๐Ÿ“ˆ
โ†’ Full implementations in Python ๐Ÿ

โœ… Suitable for:
โ€ข ML engineers
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If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini โ€” this material is worth watching. ๐Ÿ‘€

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A new collection of free courses has been added:

๐Ÿ”— 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. ๐Ÿ“š

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. ๐Ÿง 

What's inside:

โ€ข Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
โ€ข A table with lectures, descriptions, videos, notes, and authors
โ€ข Links to the original lectures and accompanying notes
โ€ข WIP markers for incomplete materials
โ€ข Instructions for contributors on adding and improving notes

The idea was appreciated. ๐Ÿ‘

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. ๐Ÿ—บ๏ธ

#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource

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๐Ÿš€ 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.
โœ… 13 courses live + 40+ coming soon
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