Forwarded from Python Courses & Resources
Media is too big
VIEW IN TELEGRAM
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
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
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
โค10๐3๐2
๐ Demystifying Activation Functions! ๐ง โจ
Ever wondered why activation functions are so critical in neural networks? ๐ค๐ค
Theyโre the secret sauce that allows models to capture complex, nonlinear relationships! ๐ฅ๐
Do you want to learn how to implement an artificial neural network from scratch in Python using NumPy? ๐๐
Learn more in super-detailed guide: https://lnkd.in/e4CydTtB ๐๐
#NeuralNetworks #DeepLearning #ActivationFunctions #Python #NumPy #AI
Ever wondered why activation functions are so critical in neural networks? ๐ค๐ค
Theyโre the secret sauce that allows models to capture complex, nonlinear relationships! ๐ฅ๐
Do you want to learn how to implement an artificial neural network from scratch in Python using NumPy? ๐๐
Learn more in super-detailed guide: https://lnkd.in/e4CydTtB ๐๐
#NeuralNetworks #DeepLearning #ActivationFunctions #Python #NumPy #AI
โค6๐ฅ2๐1
reader3 ๐โจ
When you want to connect an AI like Gemini to help you analyze books or content, copying text from a reader usually becomes a hassle. ๐ฉ๐ป
Especially if you want to discuss a book by chapters. Highlighting text manually and copying it disrupts the flow and feels like a waste of time. โณ๐ซ
Yesterday, Andrzej Karpati, a well-known AI expert, released a new project to the public: reader3, which solves this problem very neatly. ๐๐ ๏ธ It's a lightweight EPUB reader that allows you to read a book together with AI. ๐ค๐
Its interface is as minimalist as possible: only the necessary reading and navigation functions. ๐๐งญ You can also manage your library through folders. ๐โจ
The key feature is that it breaks an EPUB into chapters and displays the content one chapter at a time. ๐๐
This makes it easy to copy the needed part of the book and pass it to a large model for analysis or discussion. ๐๐ It significantly improves the reading experience when paired with AI. ๐๐ง
And it's very easy to get started - just run two commands via uv. โก๐ ๏ธ As a result, it's an excellent tool for those who love reading and want to use AI as a companion for text analysis. ๐๐ค๐ค
๐ Language: #Python 61.0%
โญ๏ธ Stars: 1.5k
โก๏ธ Link to GitHub https://github.com/karpathy/reader3
#AI #Python #Reader3 #Tech #BookLovers #Github
https://xn--r1a.website/CodeProgrammerโ
When you want to connect an AI like Gemini to help you analyze books or content, copying text from a reader usually becomes a hassle. ๐ฉ๐ป
Especially if you want to discuss a book by chapters. Highlighting text manually and copying it disrupts the flow and feels like a waste of time. โณ๐ซ
Yesterday, Andrzej Karpati, a well-known AI expert, released a new project to the public: reader3, which solves this problem very neatly. ๐๐ ๏ธ It's a lightweight EPUB reader that allows you to read a book together with AI. ๐ค๐
Its interface is as minimalist as possible: only the necessary reading and navigation functions. ๐๐งญ You can also manage your library through folders. ๐โจ
The key feature is that it breaks an EPUB into chapters and displays the content one chapter at a time. ๐๐
This makes it easy to copy the needed part of the book and pass it to a large model for analysis or discussion. ๐๐ It significantly improves the reading experience when paired with AI. ๐๐ง
And it's very easy to get started - just run two commands via uv. โก๐ ๏ธ As a result, it's an excellent tool for those who love reading and want to use AI as a companion for text analysis. ๐๐ค๐ค
๐ Language: #Python 61.0%
โญ๏ธ Stars: 1.5k
โก๏ธ Link to GitHub https://github.com/karpathy/reader3
#AI #Python #Reader3 #Tech #BookLovers #Github
https://xn--r1a.website/CodeProgrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
โค6๐4๐ฅ2๐1๐1
Forwarded from Machine Learning
๐ Master Binary Classification with Neural Networks! ๐ง โจ
Ever wondered how to build a neural network from scratch in Python using NumPy? ๐๐
Binary classification is at the heart of many machine learning applications. ๐ฏ๐ค
Our super-detailed guide walks you through the entire process step by step. ๐๐
๐ก Dive in and start building your own neural network today! ๐๐ฅ
https://tinztwinshub.com/data-science/a-beginners-guide-to-developing-an-artificial-neural-network-from-zero/
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
Ever wondered how to build a neural network from scratch in Python using NumPy? ๐๐
Binary classification is at the heart of many machine learning applications. ๐ฏ๐ค
Our super-detailed guide walks you through the entire process step by step. ๐๐
๐ก Dive in and start building your own neural network today! ๐๐ฅ
https://tinztwinshub.com/data-science/a-beginners-guide-to-developing-an-artificial-neural-network-from-zero/
#MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech
โค8๐1
"Dive into Deep Learning" ๐๐ค is an open-source book that forms the mathematical foundation for large language models. ๐ง ๐
It covers linear algebra, mathematical analysis, probability theory, optimization methods, backpropagation, attention mechanisms, and transformer architectures. ๐งฎ๐๐
The book progressively moves from classical neural networks and convolutional neural networks to modern transformers and practical techniques used in large language models. ๐๐๐ง
It contains over 1,000 pages ๐ and provides clear explanations, practical examples, and exercises. โ ๐ Making it one of the most comprehensive free resources for understanding the mathematical structure of modern artificial intelligence systems and language models. ๐๐๐ค
arxiv.org/pdf/2106.11342 ๐
#DeepLearning #AI #MachineLearning #NeuralNetworks #Transformers #OpenSource
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
It covers linear algebra, mathematical analysis, probability theory, optimization methods, backpropagation, attention mechanisms, and transformer architectures. ๐งฎ๐๐
The book progressively moves from classical neural networks and convolutional neural networks to modern transformers and practical techniques used in large language models. ๐๐๐ง
It contains over 1,000 pages ๐ and provides clear explanations, practical examples, and exercises. โ ๐ Making it one of the most comprehensive free resources for understanding the mathematical structure of modern artificial intelligence systems and language models. ๐๐๐ค
arxiv.org/pdf/2106.11342 ๐
#DeepLearning #AI #MachineLearning #NeuralNetworks #Transformers #OpenSource
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
โค9๐4๐1๐1
Forwarded from Machine Learning
๐ฅ Awesome open-source project to learn more about Transformer Models! ๐คโจ
We found this interactive website that shows you visually how transformer models work. ๐๐
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
We found this interactive website that shows you visually how transformer models work. ๐๐
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
โค7๐1๐1
Found an easy way to learn math for ML: Mathematics for Machine Learning ๐๐
This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. ๐๐
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. ๐งฎ๐ค
Free public repository on GitHub. ๐ปโจ
https://github.com/dair-ai/Mathematics-for-ML
#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI
โจ Join Best TG Channels
https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel
https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. ๐๐
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. ๐งฎ๐ค
Free public repository on GitHub. ๐ปโจ
https://github.com/dair-ai/Mathematics-for-ML
#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI
โจ Join Best TG Channels
https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel
https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
GitHub
GitHub - dair-ai/Mathematics-for-ML: ๐งฎ A collection of resources to learn mathematics for machine learning
๐งฎ A collection of resources to learn mathematics for machine learning - dair-ai/Mathematics-for-ML
โค8๐1
Forwarded from Machine Learning
๐ A huge open-source course on AI Engineering from scratch
In the repository, we've collected:
โ 435 lessons;
โ 320+ hours of content;
โ Python, TypeScript, and Rust;
โ AI agents, MCP servers, prompts, and AI skills.
Moreover, almost every lesson includes practical tasks, so this isn't just theory, but a full-fledged roadmap for AI Engineering. ๐
โ๏ธ Link to the repository
https://github.com/rohitg00/ai-engineering-from-scratch
#AI #MachineLearning #Python #Rust #OpenSource #Tech
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
In the repository, we've collected:
โ 435 lessons;
โ 320+ hours of content;
โ Python, TypeScript, and Rust;
โ AI agents, MCP servers, prompts, and AI skills.
Moreover, almost every lesson includes practical tasks, so this isn't just theory, but a full-fledged roadmap for AI Engineering. ๐
โ๏ธ Link to the repository
https://github.com/rohitg00/ai-engineering-from-scratch
#AI #MachineLearning #Python #Rust #OpenSource #Tech
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
โค10๐1
Transformer implementations for vision, audio, and AI agents ๐ค๐๏ธ๐ต
Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
#AI #MachineLearning #Vision #Audio #Agents #Tech
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
#AI #MachineLearning #Vision #Audio #Agents #Tech
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
โค4๐3
Interactive Explainer ๐ง โจ
The Anatomy of an LLM ๐
A visual walk through the machinery inside a large language model: from raw text, to tokens, to vectors, to attention, to the next token. โ๏ธ๐งฌ
๐ Link: https://www.royvanrijn.com/anatomy-of-an-llm/
#LLM #AI #Tech #NeuralNetworks #MachineLearning #DeepLearning
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
The Anatomy of an LLM ๐
A visual walk through the machinery inside a large language model: from raw text, to tokens, to vectors, to attention, to the next token. โ๏ธ๐งฌ
๐ Link: https://www.royvanrijn.com/anatomy-of-an-llm/
#LLM #AI #Tech #NeuralNetworks #MachineLearning #DeepLearning
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Roy van Rijn
The Anatomy of an LLM | Interactive Visual Guide to How Language Models Work
An interactive visual explainer for developers showing how LLMs work, from tokenization and embeddings to attention, transformers, training, KV cache, and quantization.
โค10
Forwarded from Machine Learning
FREE MIT books on AI and Machine Learning: ๐๐ค
1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/
2. Understanding Deep Learning udlbook.github.io/udlbook/
3. Introduction to Machine Learning Systems โฏ Vol 1: mlsysbook.ai/vol1/assets/do โฏ 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
โฏ Part 1 : probml.github.io/pml-book/book1
โฏ Part 2 : probml.github.io/pml-book/book2
#MIT #AI #MachineLearning #DeepLearning #ReinforcementLearning #FreeBooks
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/
2. Understanding Deep Learning udlbook.github.io/udlbook/
3. Introduction to Machine Learning Systems โฏ Vol 1: mlsysbook.ai/vol1/assets/do โฏ 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
โฏ Part 1 : probml.github.io/pml-book/book1
โฏ Part 2 : probml.github.io/pml-book/book2
#MIT #AI #MachineLearning #DeepLearning #ReinforcementLearning #FreeBooks
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
โค10
Forwarded from Data Analytics
Transformers & LLMs Cheatsheet.pdf
1.4 MB
The only LLM cheat sheet you'll ever need ๐
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)
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech
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)
โจ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
โญ๏ธ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech
โค6๐1
Forwarded from Data Analytics
The ultimate guide to fine tuning.pdf
15.2 MB
๐ The Big Book on Fine-Tuning LLMs
A free 115-page book dedicated to the retraining of large language models. ๐
It's suitable for those who want to understand how to prepare datasets, configure training, and improve the quality of LLMs for their tasks. ๐
#LLM #FineTuning #AI #MachineLearning #DataScience #Tech
โจ Join Best TG Channels https://xn--r1a.website/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
A free 115-page book dedicated to the retraining of large language models. ๐
It's suitable for those who want to understand how to prepare datasets, configure training, and improve the quality of LLMs for their tasks. ๐
#LLM #FineTuning #AI #MachineLearning #DataScience #Tech
โจ Join Best TG Channels https://xn--r1a.website/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
โค5๐4
๐ SPOTO Mid-Year Sale โ Grab Your IT Certification Success Kit!
๐ฅ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification โ SPOTO has your back with real exam dumps and hands-on training!
โ Free Resources:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
ใปIT Certs E-book: https://bit.ly/49ub0zq
ใปIT Exams Skill Test: https://bit.ly/4dVPapB
ใปFree AI material and support tools: https://bit.ly/4elzcpl
ใปFree Cloud Study Guide: https://bit.ly/4u7sdG0
๐ Join SPOTO Mid-Year Lucky Draw:
๐ฑ iPhone 17 ๐ Free Order
๐ Amazon Gift $100 ๐PMP/ AWS/ CCNA Course
๐ Enter the Draw Now โ https://bit.ly/4uN3lVt
๐ Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d
๐ฌ Want exam help? Chat with an admin now:
https://wa.link/knicza
โฐ Mid-Year Deal Ends Soon โ Don't Miss Out!
๐ฅ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification โ SPOTO has your back with real exam dumps and hands-on training!
โ Free Resources:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
ใปIT Certs E-book: https://bit.ly/49ub0zq
ใปIT Exams Skill Test: https://bit.ly/4dVPapB
ใปFree AI material and support tools: https://bit.ly/4elzcpl
ใปFree Cloud Study Guide: https://bit.ly/4u7sdG0
๐ Join SPOTO Mid-Year Lucky Draw:
๐ฑ iPhone 17 ๐ Free Order
๐ Amazon Gift $100 ๐PMP/ AWS/ CCNA Course
๐ Enter the Draw Now โ https://bit.ly/4uN3lVt
๐ Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d
๐ฌ Want exam help? Chat with an admin now:
https://wa.link/knicza
โฐ Mid-Year Deal Ends Soon โ Don't Miss Out!
โค3๐ฏ1
Data Science Interview Questions.pdf
1.4 MB
Data Science Interview Questions
๐ก Here is your curated list for Data Science interviews!
โจ Join Best TG Channels https://xn--r1a.website/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
#DataScience #AI #MachineLearning #LLM #TechJobs #InterviewPrep
๐ก Here is your curated list for Data Science interviews!
โจ Join Best TG Channels https://xn--r1a.website/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
#DataScience #AI #MachineLearning #LLM #TechJobs #InterviewPrep
โค2๐2๐1
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://xn--r1a.website/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://xn--r1a.website/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
โค8
5 Fun Papers That Explain LLMs Clearly ๐โจ
Want to understand LLMs better? Start with these five foundational papers that explain how they work. ๐ค
Large language models (LLMs) can feel complicated at first. There are transformers, attention layers, scaling laws, pretraining, instruction tuning, human feedback, retrieval, and many other ideas around them. ๐ง But the best way to understand large language models is not to start with a huge textbook. A better way is to read a few important papers that each explain one major part of the system. ๐ This article is part of a fun series where we learn by exploring core ideas, practical projects, and the research papers behind modern technology. ๐ฌ In this article, we will go through five papers that explain how LLMs work. So, let's get started. ๐
More: https://www.kdnuggets.com/5-fun-papers-that-explain-llms-clearly
#LLM #AI #MachineLearning #DeepLearning #DataScience #Tech
โจ Join Best TG Channels https://xn--r1a.website/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
Want to understand LLMs better? Start with these five foundational papers that explain how they work. ๐ค
Large language models (LLMs) can feel complicated at first. There are transformers, attention layers, scaling laws, pretraining, instruction tuning, human feedback, retrieval, and many other ideas around them. ๐ง But the best way to understand large language models is not to start with a huge textbook. A better way is to read a few important papers that each explain one major part of the system. ๐ This article is part of a fun series where we learn by exploring core ideas, practical projects, and the research papers behind modern technology. ๐ฌ In this article, we will go through five papers that explain how LLMs work. So, let's get started. ๐
More: https://www.kdnuggets.com/5-fun-papers-that-explain-llms-clearly
#LLM #AI #MachineLearning #DeepLearning #DataScience #Tech
โจ Join Best TG Channels https://xn--r1a.website/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
โค4
Forwarded from Machine Learning
If you already have 200 open tabs with courses, articles, and GitHub repositories on ML, this repository might save the situation a bit. ๐
Awesome Machine Learning Resources is a huge collection of sub-collections on machine learning, deep learning, and AI. ๐ค
Instead of endless Google searches, everything is organized into categories:
โข fundamentals of machine learning
โข neural networks and modern architectures
โข tasks and application areas
โข datasets
โข libraries and tools
โข fairness and AI ethics
โข production ML and MLOps
Each link has a short description, so you can quickly understand whether it's worth opening it or skipping it. ๐
I particularly liked that the authors mark abandoned collections with an icon if they haven't been updated in over a year. โ ๏ธ
https://github.com/ZhiningLiu1998/awesome-machine-learning-resources
#MachineLearning #DeepLearning #AI #MLOps #DataScience #TechResources
โจ Join Best TG Channels https://xn--r1a.website/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
Awesome Machine Learning Resources is a huge collection of sub-collections on machine learning, deep learning, and AI. ๐ค
Instead of endless Google searches, everything is organized into categories:
โข fundamentals of machine learning
โข neural networks and modern architectures
โข tasks and application areas
โข datasets
โข libraries and tools
โข fairness and AI ethics
โข production ML and MLOps
Each link has a short description, so you can quickly understand whether it's worth opening it or skipping it. ๐
I particularly liked that the authors mark abandoned collections with an icon if they haven't been updated in over a year. โ ๏ธ
https://github.com/ZhiningLiu1998/awesome-machine-learning-resources
#MachineLearning #DeepLearning #AI #MLOps #DataScience #TechResources
โจ Join Best TG Channels https://xn--r1a.website/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
โค7
Kaggle and Google are launching a free 5-day intensive course on VibeCoding. ๐
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. ๐ค The program includes daily tasks, live streams, discussions, and practical projects. ๐ป
After completion, participants will receive an official certificate that can be added to their portfolio. ๐
Start date: June 15th. ๐
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google ๐
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. ๐
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
โจ Join Best TG Channels https://xn--r1a.website/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
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. ๐ค The program includes daily tasks, live streams, discussions, and practical projects. ๐ป
After completion, participants will receive an official certificate that can be added to their portfolio. ๐
Start date: June 15th. ๐
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google ๐
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. ๐
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
โจ Join Best TG Channels https://xn--r1a.website/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
โค5
๐ SPOTO Mid-Year Sale โ Grab Your IT Certification Success Kit!
๐ฅ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification โ SPOTO has your back with real exam dumps and hands-on training!
โ Free Resources:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
ใปIT Certs E-book: https://bit.ly/49ub0zq
ใปIT Exams Skill Test: https://bit.ly/4dVPapB
ใปFree AI material and support tools: https://bit.ly/4elzcpl
ใปFree Cloud Study Guide: https://bit.ly/4u7sdG0
๐ Join SPOTO Mid-Year Lucky Draw:
๐ฑ iPhone 17 ๐ Free Order
๐ Amazon Gift $100 ๐PMP/ AWS/ CCNA Course
๐ Enter the Draw Now โ https://bit.ly/4uN3lVt
๐ Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
๐ฌ Want exam help? Chat with an admin now:
https://wa.link/knicza
โฐ Mid-Year Deal Ends Soon โ Don't Miss Out!
๐ฅ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification โ SPOTO has your back with real exam dumps and hands-on training!
โ Free Resources:
ใปFree Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
ใปIT Certs E-book: https://bit.ly/49ub0zq
ใปIT Exams Skill Test: https://bit.ly/4dVPapB
ใปFree AI material and support tools: https://bit.ly/4elzcpl
ใปFree Cloud Study Guide: https://bit.ly/4u7sdG0
๐ Join SPOTO Mid-Year Lucky Draw:
๐ฑ iPhone 17 ๐ Free Order
๐ Amazon Gift $100 ๐PMP/ AWS/ CCNA Course
๐ Enter the Draw Now โ https://bit.ly/4uN3lVt
๐ Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
๐ฌ Want exam help? Chat with an admin now:
https://wa.link/knicza
โฐ Mid-Year Deal Ends Soon โ Don't Miss Out!
โค2