Forwarded from Data Analytics
🔖 One of the most useful books on Agentic AI
This is not just a textbook, but a comprehensive overview of modern LLMs, model training, RL, inference, quality assessment, and building AI agents.
It's an excellent option to get a holistic picture and understand which topics deserve deeper study.
⛓️ Link to the book
https://arxiv.org/abs/2606.24937
This is not just a textbook, but a comprehensive overview of modern LLMs, model training, RL, inference, quality assessment, and building AI agents.
It's an excellent option to get a holistic picture and understand which topics deserve deeper study.
⛓️ Link to the book
https://arxiv.org/abs/2606.24937
❤4
🎓 Free Courses on Claude and AI From Anthropic
Anthropic has expanded its educational platform, Anthropic Academy. It now offers more than 20 free courses on using Claude and AI-powered tools.
No programming experience is required. There are programs for students, educators, nonprofits, and small businesses. The courses cover how to give models clear instructions, evaluate their responses, and automate everyday tasks.
Developers can also take dedicated courses on the Claude API, Claude Code, Model Context Protocol, Agent Skills, and cloud integrations.
All courses are free, and you don't need a Claude account to enroll. All materials and videos are in English.
📌 Participants receive official certificates after completing many of the programs.
➡️ Find all the courses here.
https://anthropic.com/learn/courses
Planning to take one?
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Anthropic has expanded its educational platform, Anthropic Academy. It now offers more than 20 free courses on using Claude and AI-powered tools.
No programming experience is required. There are programs for students, educators, nonprofits, and small businesses. The courses cover how to give models clear instructions, evaluate their responses, and automate everyday tasks.
Developers can also take dedicated courses on the Claude API, Claude Code, Model Context Protocol, Agent Skills, and cloud integrations.
All courses are free, and you don't need a Claude account to enroll. All materials and videos are in English.
📌 Participants receive official certificates after completing many of the programs.
➡️ Find all the courses here.
https://anthropic.com/learn/courses
Planning to take one?
#Anthropic #Claude #AICourses #FreeLearning #TechEducation #AI
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My new hobby: searching for beautiful projects on GitHub and being inspired by their design. 🚀✨
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Towards Data Science
How Far Can Classical NLP Go? From Bag-of-Words to Stacking on Spooky Author Identification | Towards Data Science
An end-to-end classical NLP experiment on Kaggle’s Spooky Author Identification task: from Vowpal Wabbit and TF-IDF/NB-SVM baselines to a tuned stacked ensemble, with a compact representation survey of Bag-of-Words, BM25, Word2Vec, and FastText for context.
🚀 Looking for a portfolio-ready NLP project?
I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.
You’ll see how far classical NLP can go with:
📝 Bag-of-Words and TF-IDF
🔤 Character n-grams
📊 Model comparison
🧩 Ensemble stacking
It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:
🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/
I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.
You’ll see how far classical NLP can go with:
📝 Bag-of-Words and TF-IDF
🔤 Character n-grams
📊 Model comparison
🧩 Ensemble stacking
It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:
🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/
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Reinforcement Learning Methods and Tutorials 🧠📚
In these tutorials for reinforcement learning, it covers from the basic RL algorithms to advanced algorithms developed recent years.
Learning Resources: https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow 🚀
Here's a collection of simple materials on methods and practical guides, covering both basic reinforcement learning algorithms and modern, recently developed, and updated advanced algorithms. 📖✨
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In these tutorials for reinforcement learning, it covers from the basic RL algorithms to advanced algorithms developed recent years.
Learning Resources: https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow 🚀
Here's a collection of simple materials on methods and practical guides, covering both basic reinforcement learning algorithms and modern, recently developed, and updated advanced algorithms. 📖✨
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Create your own AI assistant for free in 5 minutes.
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It can help with email, draft replies to text or voice messages, send emails, set reminders, create and manage spreadsheets, generate images, create videos, edit short videos, work with PDFs, Notion, Obsidian, and much more.
Dozens of skills are already available, and the list is constantly growing. If you need a custom skill for your workflow, business, or team, the Amplify team will quickly develop and implement it.
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After registering, you'll receive your own promo code. If someone else signs up with it, you'll get an extra month free.
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Promo code:
It's a familiar problem: everyone wants a personal AI assistant, but building one from scratch usually means servers, API keys, integrations, maintenance, and a ton of technical overhead.
Amplify takes care of all of this for you. In about 5 minutes, you'll have a personal AI agent connected to your Google account—Gmail, Drive, Calendar, Docs, Slides, Sheets, and more. Google integration is officially verified.
🗣You can communicate with your assistant anywhere: Telegram, WhatsApp, Slack, WeChat, or Discord.
It can help with email, draft replies to text or voice messages, send emails, set reminders, create and manage spreadsheets, generate images, create videos, edit short videos, work with PDFs, Notion, Obsidian, and much more.
Dozens of skills are already available, and the list is constantly growing. If you need a custom skill for your workflow, business, or team, the Amplify team will quickly develop and implement it.
The pricing is simple: $10 per month plus pay only for the features you actually use. No confusing token system—the cost of each action is clearly displayed in your dashboard.
And if you already have a ChatGPT subscription, you can sign up and essentially avoid paying separately for the AI model.
😎For subscribers: use the promo code and get two months free + $10 credit to your balance.
After registering, you'll receive your own promo code. If someone else signs up with it, you'll get an extra month free.
Try Amplify here: https://getamplify.team/
Promo code:
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Machine Learning with Python pinned «Create your own AI assistant for free in 5 minutes. It's a familiar problem: everyone wants a personal AI assistant, but building one from scratch usually means servers, API keys, integrations, maintenance, and a ton of technical overhead. Amplify takes…»
Forwarded from Machine Learning
Diving deep into Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP. 🤖🧠
Lectures: 🎓📚
https://github.com/kmario23/deep-learning-drizzle
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Lectures: 🎓📚
https://github.com/kmario23/deep-learning-drizzle
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Hugging Face Viewer is now at 2300 viewable models! 😊 Would love more feedback and ideas!
It's a free interactive graph visualizer for learning about the architectures of open source AI models! 🚀
Hovering nodes in the graph links to a definitions + animation and the paper that introduced it!
🌟 hfviewer.com
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It's a free interactive graph visualizer for learning about the architectures of open source AI models! 🚀
Hovering nodes in the graph links to a definitions + animation and the paper that introduced it!
🌟 hfviewer.com
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🔖 Comprehensive Practical Course on Reinforcement Learning
We've found a repository that will help you learn Reinforcement Learning, from basic concepts to advanced algorithms.
The author supports the theory with practical examples using TensorFlow, making the material ideal for self-study.
⛓️ Link to GitHub
https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
#ReinforcementLearning #TensorFlow #MachineLearning #DeepLearning #AI #Tech
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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
We've found a repository that will help you learn Reinforcement Learning, from basic concepts to advanced algorithms.
The author supports the theory with practical examples using TensorFlow, making the material ideal for self-study.
⛓️ Link to GitHub
https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
#ReinforcementLearning #TensorFlow #MachineLearning #DeepLearning #AI #Tech
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Get a job or employment opportunity by using our smart bot that connects the right person to the right job.
After using the bot, click the Find Job button.
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Forwarded from Machine Learning
Maths, CS & AI Compendium: A free textbook for aspiring AI/ML engineers
🚀 A large open-source compendium on mathematics, computer science, and AI has gone viral on GitHub. The project already has around 6.3K stars.
📚 The author positions it as a "non-traditional textbook" for practitioners: less dry notation, more intuition, connections between topics, and real-world context.
📖 It contains 20 chapters:
* Vectors, matrices, calculus
* Statistics and probability
* Machine learning and deep learning
* NLP, computer vision, audio/speech
* Multimodal learning and autonomous systems
* GNN, OS, algorithms
* Production engineering, GPU/SIMD
* AI inference, ML systems design, and applied AI
🤖 There is also a MCP server so that Claude Code, Cursor, VS Code, and other AI assistants can use the compendium as a local knowledge base.
💡 This is a great resource for those who want to not just "learn ML," but to build a solid foundation: mathematics → CS → ML systems → modern AI.
🔗 GitHub: https://github.com/HenryNdubuaku/maths-cs-ai-compendium
#AI #MachineLearning #ComputerScience #Maths #OpenSource #DevCommunity
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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 A large open-source compendium on mathematics, computer science, and AI has gone viral on GitHub. The project already has around 6.3K stars.
📚 The author positions it as a "non-traditional textbook" for practitioners: less dry notation, more intuition, connections between topics, and real-world context.
📖 It contains 20 chapters:
* Vectors, matrices, calculus
* Statistics and probability
* Machine learning and deep learning
* NLP, computer vision, audio/speech
* Multimodal learning and autonomous systems
* GNN, OS, algorithms
* Production engineering, GPU/SIMD
* AI inference, ML systems design, and applied AI
🤖 There is also a MCP server so that Claude Code, Cursor, VS Code, and other AI assistants can use the compendium as a local knowledge base.
💡 This is a great resource for those who want to not just "learn ML," but to build a solid foundation: mathematics → CS → ML systems → modern AI.
🔗 GitHub: https://github.com/HenryNdubuaku/maths-cs-ai-compendium
#AI #MachineLearning #ComputerScience #Maths #OpenSource #DevCommunity
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Forwarded from Machine Learning
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Stop searching for generative AI resources one category at a time. 🚀
Awesome Generative AI is a curated directory of generative AI projects and services for builders exploring the ecosystem. 🌐
It helps you compare where to look next by organizing links and short descriptions across models, tools, agents, media, and learning resources. 📊
Key features:
• Text stack – browse models, chatbots, search engines, writing tools, research tools, and leaderboards ✍️
• Coding toolkit – find coding assistants, developer tools, playgrounds, and local LLM deployment options 💻
• Agent directory – scan autonomous agent projects and custom assistant resources 🤖
• Multimodal map – explore image, video, audio, and music tools in dedicated sections 🎨🎵
• Learning library – use recommended reading, milestones, courses, guides, and related lists to build context 📚
It’s open-source (CC0-1.0 license). 🔓
Repo: https://github.com/steven2358/awesome-generative-ai
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#GenerativeAI #AIResources #TechTools #OpenSource #AICommunity #DevTools
Awesome Generative AI is a curated directory of generative AI projects and services for builders exploring the ecosystem. 🌐
It helps you compare where to look next by organizing links and short descriptions across models, tools, agents, media, and learning resources. 📊
Key features:
• Text stack – browse models, chatbots, search engines, writing tools, research tools, and leaderboards ✍️
• Coding toolkit – find coding assistants, developer tools, playgrounds, and local LLM deployment options 💻
• Agent directory – scan autonomous agent projects and custom assistant resources 🤖
• Multimodal map – explore image, video, audio, and music tools in dedicated sections 🎨🎵
• Learning library – use recommended reading, milestones, courses, guides, and related lists to build context 📚
It’s open-source (CC0-1.0 license). 🔓
Repo: https://github.com/steven2358/awesome-generative-ai
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16 GB RAM. No cloud subscription. Which local AI model actually fits?
How AI Helps built a free Telegram model picker. Choose your task, RAM or VRAM, language, runtime, and commercial-use requirement.
Then compare a shortlist by memory, license, sources, download options, and launch commands when available.
Join How AI Helps and open the pinned model-picker guide
How AI Helps built a free Telegram model picker. Choose your task, RAM or VRAM, language, runtime, and commercial-use requirement.
Then compare a shortlist by memory, license, sources, download options, and launch commands when available.
Join How AI Helps and open the pinned model-picker guide
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Top YouTube Channels to Master Tech Skills 🚀
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1. SQL 💻
👉 youtube.com/@joeyblue1
2. Excel 📊
👉 youtube.com/@excelisfun
3. Statistics 📈
👉 youtube.com/@statquest
4. Math 🧮
👉 youtube.com/results?search…
5. Python 🐍
👉 youtube.com/@BroCodez
6. Data Analysis 🔍
👉 youtube.com/@AlexTheAnalyst
7. Machine Learning 🤖
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15. University-Level Courses 🎓
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16. All-in-One Learning 📚
👉 youtube.com/@freecodecamp
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Build AI products, not scraping infrastructure.
CoreClaw provides ready-to-use Workers & APIs for 1000+ websites — including Google Maps, Instagram, Facebook, YouTube, Amazon, Tiktok and Google Search Scraper.
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✔️ No proxy management
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