Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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Red:📈 Análisis del canal de Telegram Machine Learning with Python
El canal Machine Learning with Python (@codeprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 68 128 suscriptores, ocupando la posición 2 370 en la categoría Educación y el puesto 4 740 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 128 suscriptores.
Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 67, y en las últimas 24 horas de 13, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.98%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.55% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 714 visualizaciones. En el primer día suele acumular 1 053 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
- Intereses temáticos: El contenido se centra en temas clave como insidead, learning, degree, evaluation, algorithm.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
68 128
Suscriptores
+1324 horas
-567 días
+6730 días
Archivo de publicaciones
🤖🧠 Jio AI Classroom: Learn Artificial Intelligence for Free with Jio Institute & JioPC App
🗓️ 13 Oct 2025
📚 AI News & Trends
Artificial Intelligence (AI) is redefining industries across the globe from healthcare to education, finance and beyond. But for millions of learners in India, access to high-quality AI education has often been limited by cost and technical barriers. Bridging this gap, Jio Institute in collaboration with JioPC App has launched a unique free online AI learning ...
#JioAIClassroom #ArtificialIntelligence #FreeAIEducation #JioInstitute #JioPCApp #AILearning
🤖🧠 Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data
🗓️ 13 Oct 2025
📚 AI News & Trends
In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ...
#OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework
🔰 Email automation using Python
Why type emails when Python can do it for you? Work smarter, not harder... unless you’re debugging. 😅💻
Repost from Github Top Repositories
🔥 Trending Repository: Prompt-Engineering-Guide
📝 Description: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🔗 Repository URL: https://github.com/dair-ai/Prompt-Engineering-Guide
🌐 Website: https://www.promptingguide.ai/
📖 Readme: https://github.com/dair-ai/Prompt-Engineering-Guide#readme
📊 Statistics:
🌟 Stars: 63K stars
👀 Watchers: 668
🍴 Forks: 6.6K forks
💻 Programming Languages: MDX - Jupyter Notebook
🏷️ Related Topics:
#deep_learning #openai #language_model #prompt_engineering #generative_ai #chatgpt================================== 🧠 By: https://t.me/DataScienceM
💠 The Best Tool for Extracting Data from PDF Files!
👩🏻💻 Usually, PDF files like financial reports, scientific articles, or data analyses are full of tables, formulas, and complex texts.
⬅️ Most tools only extract texts and destroy the data structure, causing important information to be lost.
✅ But the tool Docling uses artificial intelligence to preserve all those structures (text, tables, formulas) exactly as they are in the file. Then it converts that data into a structured format. Meaning AI models can work on them.
⭕ The interesting point is that with just three lines of Python code, you can convert any PDF into searchable data!
┌ 🥵 Docling
├ 🔎 Article
├ 📄 Documentation
└ 🐱 GitHub-Repos
🌐 #Data_Science #DataScience
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Repost from Machine Learning
📌 Learn Transformer Fine-Tuning and Segment Anything
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-30 | ⏱️ Read time: 13 min read
Train Meta’s SAM to segment high fidelity masks for any domain
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🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025
🗓️ 11 Oct 2025
📚 AI News & Trends
Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether you’re curating ...
#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion
🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes
🗓️ 11 Oct 2025
📚 AI News & Trends
Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ...
#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs
🗓️ 11 Oct 2025
📚 AI News & Trends
Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...
#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
🤖🧠 Gamma PPT AI : Unlock Presentations in Minutes
🗓️ 10 Oct 2025
📚 AI News & Trends
In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ...
#GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck
🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing
🗓️ 09 Oct 2025
📚 AI News & Trends
If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...
#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models
🗓️ 09 Oct 2025
📚 AI News & Trends
Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...
#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture
🤖🧠 OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents
🗓️ 08 Oct 2025
📚 AI News & Trends
OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...
#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs
🗓️ 08 Oct 2025
📚 AI News & Trends
In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...
#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
Repost from Machine Learning
📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary
🗂 Category: DEEP LEARNING
🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read
A deep dive into absolute, relative, and rotary positional embeddings with code examples
🤖🧠 The Little Book of Deep Learning – A Complete Summary and Chapter-Wise Overview
🗓️ 08 Oct 2025
📚 AI News & Trends
In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, “The Little Book of Deep Learning” by François Fleuret is a gem. This ...
#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides # FrancoisFleuret
🤖🧠 DeepEval: The Ultimate LLM Evaluation Framework for AI Developers
🗓️ 07 Oct 2025
📚 AI News & Trends
In today’s AI-driven world, large language models (LLMs) have become central to modern applications from chatbots to intelligent AI agents. However, ensuring the accuracy, reliability and safety of these models is a significant challenge. Even small errors, biases or hallucinations can result in misleading information, frustrated users or business setbacks. This is where DeepEval, an ...
#DeepEval #LLM #AIDevelopment #LanguageModels #ModelEvaluation #ArtificialIntelligence
🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025
🗓️ 11 Oct 2025
📚 AI News & Trends
Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether you’re curating ...
#GeminiAI #PhotoEditing #PortraitPhotography #AIart #BoysFashion #2025Trends
🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes
🗓️ 11 Oct 2025
📚 AI News & Trends
Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ...
#AI #MachineLearning #MultiAgentSystems #ArtificialIntelligence #HighPerformance #ROMA
