Machine Learning
41.9K subscribers
3.71K photos
38 videos
50 files
753 links
Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
Channel photo updated
πŸš€ RESEARCH & DIGITAL SOLUTIONS β€” YOUR PARTNER IN SUCCESS!
Are you a researcher, student, business owner, or developer looking for professional support? We are here to help you turn your ideas into real results! πŸ’‘

πŸ”¬ 1. Scientific Research & Academic Publishing
Professional review and evaluation of scientific manuscripts before submission.
Guidance on journal selection and publication strategies.
Expert advice to improve research quality and presentation.
Support for researchers throughout the academic publishing process.

πŸ’» 2. Website & Software Development
Professional website design and development for businesses and individuals.
Custom electronic systems tailored to your needs.
Technical assistance for students and academic projects.

βš™οΈ 3. API & User Interface (UI) Services
API development and integration.
Modern, responsive, and user-friendly interface design.
Seamless integration between applications and systems.

πŸ“Š 4. Real-World & Synthetic Datasets
Providing real-world datasets for research and analysis.
Creating customized synthetic datasets according to your requirements.
Data support for scientific research, machine learning, and AI projects.

🀝 5. FREE Discussion & Consultation
Discuss your research ideas and technical projects with us.
Get initial guidance and recommendations.
Explore the best solutions for your academic or professional needs.

🌟 WHY CHOOSE US?
βœ… Research and technology expertise in one place.
βœ… Tailored solutions based on your needs.
βœ… Professional guidance and practical support.
βœ… Free initial discussion and consultation.

πŸ“© CONTACT US ON TELEGRAM
πŸ‘¨β€πŸ’» Team Admin & Support: @Omidyzd62
πŸ’¬ Feel free to contact us to discuss your ideas, ask questions, or explore how we can help!
Your Research. Your Ideas. Our Expertise. Your Success. 🎯

#ResearchSupport #AcademicPublishing #ScientificResearch #WebDevelopment #SoftwareDevelopment #API #UIUX #Datasets #MachineLearning #ArtificialIntelligence #StudentSupport
❀3πŸ‘1
πŸ”– A Comprehensive Resource for Machine Learning Practice

The platform offers:

🫑 1200+ machine learning tasks;
🫑 Mathematics, from linear algebra to PCA;
🫑 Deep Learning, NLP, and Computer Vision;
🫑 Labs with real datasets;
🫑 Learning paths and interview preparation;
🫑 Projects using GPT, RL, and CUDA.

Almost everything can be accessed directly in your browser, and basic tasks are available for free.

⛓️ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

#MachineLearning #DeepLearning #DataScience #AI #Coding #Tech

✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❀7
"Matrix Differential Calculus for Machine Learning and Beyond" is a free course of lecture materials from MIT, focusing on the mathematics of derivatives of vectors and matrices.

The materials cover gradients, Jacobians, derivatives of matrix functions, differentials, derivatives of matrix products, inverse matrices, and determinants, Kronecker products, optimization, and automatic differentiation. It also explores the application of these methods in machine learning.

In my opinion, this is a valuable resource for those who are already familiar with the basics of linear algebra and mathematical analysis and want to understand how differentiation is generalized to vectors and matrices and applied in modern optimization problems.

https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/mit18_s096iap23_lec_full.pdf

https://t.me/MachineLearning9
❀6
Forwarded from Data Analytics
This media is not supported in your browser
VIEW IN TELEGRAM
You can literally enter a sentence and see how the Transformer processes it.

This interactive tool runs a GPT-like model directly in your browser and allows you to trace the entire process:

Tokenization β†’ Embeddings β†’ Q/K/V β†’ Attention Mechanism β†’ MLP β†’ Logits β†’ Probabilities of the next token.

You can explore attention maps, intermediate values, and adjust parameters like temperature, top-k, and top-p to see how they affect the generation.

If Transformers still seem like a collection of blocks connected by arrows, you should definitely try this.

https://poloclub.github.io/transformer-explainer/

https://t.me/DataAnalyticsX
❀3
πŸ”₯ Free IT & Dev Study Kits – 2026 Prep, No Signup

If you’re 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.

πŸ“˜ Cert E-Book β€” covers Cisco & AWS fundamentals, good for first-time cert takers
β†’ https://bit.ly/4yrk1Ti

πŸͺœ Online Free Course β€” structured path, works as a refresher before exams
β†’ https://bit.ly/4hUprRP

☁️ Free AI Materials β€” LLM basics to fine-tuning practice notebooks
β†’ https://bit.ly/4yt1iXy

πŸ“Š Cloud Study Guide β€” cheat-sheet style, handy for interview prep
β†’ https://bit.ly/4el4Eod

🧠 Free Mock Exam β€” test yourself before booking the real thing
β†’ https://bit.ly/4sbWlkl

πŸ“Œ Save this or forward it to your dev/study group β€” good resources are worth sharing. πŸ’ͺ

🌐 Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v
πŸ“² Personalized help:
https://wa.link/xd2fu6
#Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers
❀3
This media is not supported in your browser
VIEW IN TELEGRAM
πŸ”– 637 interactive modules on ML and AI

On VizLearn, you can visually explore:
🫑 Gradient descent;
🫑 SVM and PCA;
🫑 Bayes' theorem;
🫑 BPE tokenization;
🫑 Query, Key, and Value;
🫑 KV cache;
🫑 Quantization;
🫑 Neural networks and LLMs.

Change the input data and immediately see the results of the calculations.

β›“ Link to the tutorial
https://vizlearn.in/
❀5