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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! π‘
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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! π‘
π¬ 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.
π» 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.
βοΈ 3. API & User Interface (UI) Services
API development and integration.
Modern, responsive, and user-friendly interface design.
Seamless integration between applications and systems.
π 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.
π€ 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.
π WHY CHOOSE US?
β Research and technology expertise in one place.
β Tailored solutions based on your needs.
β Professional guidance and practical support.
β Free initial discussion and consultation.
π© CONTACT US ON TELEGRAM
π¨βπ» Team Admin & Support: @Omidyzd62
π¬ 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. π―
#ResearchSupport #AcademicPublishing #ScientificResearch #WebDevelopment #SoftwareDevelopment #API #UIUX #Datasets #MachineLearning #ArtificialIntelligence #StudentSupport
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Almost everything can be accessed directly in your browser, and basic tasks are available for free.
βοΈ Link to the platform
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The platform offers:
π«‘ 1200+ machine learning tasks;
π«‘ Mathematics, from linear algebra to PCA;
π«‘ Deep Learning, NLP, and Computer Vision;
π«‘ Labs with real datasets;
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π«‘ Projects using GPT, RL, and CUDA.
Almost everything can be accessed directly in your browser, and basic tasks are available for free.
βοΈ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
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"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
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
β€6
Forwarded from Data Analytics
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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
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
β€3
Forwarded from Machine Learning with Python
https://substack.com/@husseinsheikho?utm_source=share&utm_medium=android&r=3hwnr8
Follow me to more posts and useful content
Follow me to more posts and useful content
Substack
Hussein Sheikho | Substack
AI and Machine Learning Blogger | Computer Vision & Image Processing | Python Developer. Sharing practical tutorials, innovative projects, and insights into deep learning and artificial intelligence.
β€2π1
π 7 Best Websites to Learn Computer Science Subjects for Free
More: https://enghusseinsheikho.substack.com/p/7-best-websites-to-learn-computer?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
More: https://enghusseinsheikho.substack.com/p/7-best-websites-to-learn-computer?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Substack
π 7 Best Websites to Learn Computer Science Subjects for Free
Struggling with subjects like DSA, DBMS, OS or Computer Networks?
β€3π1
Agentic AI is the future.
If you want to become god-level with AI agents, save these 10 GitHub repos:
1 Awesome LLM Apps
π https://github.com/Shubhamsaboo/awesome-llm-apps
2 Generative AI for Beginners
π https://github.com/microsoft/generative-ai-for-beginners
3 LLM Course
π https://github.com/mlabonne/llm-course
4 Prompt Engineering Guide
π https://github.com/dair-ai/Prompt-Engineering-Guide
5 AI Agents for Beginners
π https://github.com/microsoft/ai-agents-for-beginners
6 AI Agents Projects
π https://github.com/ashishpatel26/500-AI-Agents-Projects
7 Hugging Face Agents Course
π https://github.com/huggingface/agents-course
8 Awesome AI Agents
π https://github.com/e2b-dev/awesome-ai-agents
9 GenAI Agents
π https://github.com/NirDiamant/GenAI_Agents
10 Agents Towards Production
π https://github.com/NirDiamant/agents-towards-production
Anything else you'd add?
If you want to become god-level with AI agents, save these 10 GitHub repos:
1 Awesome LLM Apps
π https://github.com/Shubhamsaboo/awesome-llm-apps
2 Generative AI for Beginners
π https://github.com/microsoft/generative-ai-for-beginners
3 LLM Course
π https://github.com/mlabonne/llm-course
4 Prompt Engineering Guide
π https://github.com/dair-ai/Prompt-Engineering-Guide
5 AI Agents for Beginners
π https://github.com/microsoft/ai-agents-for-beginners
6 AI Agents Projects
π https://github.com/ashishpatel26/500-AI-Agents-Projects
7 Hugging Face Agents Course
π https://github.com/huggingface/agents-course
8 Awesome AI Agents
π https://github.com/e2b-dev/awesome-ai-agents
9 GenAI Agents
π https://github.com/NirDiamant/GenAI_Agents
10 Agents Towards Production
π https://github.com/NirDiamant/agents-towards-production
Anything else you'd add?
GitHub
GitHub - Shubhamsaboo/awesome-llm-apps: 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. - Shubhamsaboo/awesome-llm-apps
β€7π3
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If youβre 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.
π Cert E-Book β covers Cisco & AWS fundamentals, good for first-time cert takers
β https://bit.ly/4yrk1Ti
πͺ Online Free Course β structured path, works as a refresher before exams
β https://bit.ly/4hUprRP
βοΈ Free AI Materials β LLM basics to fine-tuning practice notebooks
β https://bit.ly/4yt1iXy
π Cloud Study Guide β cheat-sheet style, handy for interview prep
β https://bit.ly/4el4Eod
π§ Free Mock Exam β test yourself before booking the real thing
β https://bit.ly/4sbWlkl
π Save this or forward it to your dev/study group β good resources are worth sharing. πͺ
π Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v
π² Personalized help: https://wa.link/xd2fu6
#Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers
β€3
Forwarded from Machine Learning with Python
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π 637 interactive modules on ML and AI
On VizLearn, you can visually explore:
π«‘ Gradient descent;
π«‘ SVM and PCA;
π«‘ Bayes' theorem;
π«‘ BPE tokenization;
π«‘ Query, Key, and Value;
π«‘ KV cache;
π«‘ Quantization;
π«‘ Neural networks and LLMs.
Change the input data and immediately see the results of the calculations.
β Link to the tutorial
https://vizlearn.in/
On VizLearn, you can visually explore:
π«‘ Gradient descent;
π«‘ SVM and PCA;
π«‘ Bayes' theorem;
π«‘ BPE tokenization;
π«‘ Query, Key, and Value;
π«‘ KV cache;
π«‘ Quantization;
π«‘ Neural networks and LLMs.
Change the input data and immediately see the results of the calculations.
β Link to the tutorial
https://vizlearn.in/
β€5
