HOOSHWARE
Live
LIVE
0
LIVEConnecting to Hooshware intelligenceβ€’
00:00:00
AI Heat
LOW
Monitoring0 sources

Hooshware

ESTABLISHING NEURAL LINK...
Back to Source Center
Machine Learning with Python logo

Machine Learning with Python

ML / Coding

telegramTrust 70/100Actively monitored
Visit source

Latest coverage

News and signals attributed to Machine Learning with Python, with links to Hooshware coverage and the original publication.

Social signal17h ago

πŸš€ Scraping with Python? Get 1GB of Residential Proxy Traffic Free Building scrapers, collecting web data, or running automated tasks? Your IP is often the first thing that gets blocked. 711Proxy gives you access to 100M+ real residential IPs across 200+ countries & regions, with flexible rotation and sticky sessions for different scraping scenarios. 🌍 Country & ASN targeting πŸ”„ Rotating & sticky sessions ⚑️ 99.9% IP availability πŸ”Œ HTTP & SOCKS5 🐍 Built for scraping & automation workflows 🎁 Get 1GB Free Trial:https://www.711proxy.com πŸ‘‰ After registration, contact our support team and mention β€œMachine Learning with Python” to claim your free 1GB.

Monitored signal
Social signal2d ago

πŸš€ ChatGPT Plus & Gemini AI ProπŸ€– ChatGPT Plus β€” 1 Month: $8 ✨ Gemini AI Pro β€” 18 Months: $1.50 ⚑ Fast delivery 🌍 Worldwide πŸ” Directly via Telegram πŸ‘‰ https://t.me/Hppykeys_BOT

Monitored signal
Social signal3d ago

Get Up to 500MB of Residential Proxy Traffic for Your Python Projects 🐍 Building a web scraper with Python? ThorData helps developers collect public web data while handling proxy rotation, geo-targeting, and access restrictions. βœ… Residential IPs across 190+ countries βœ… Country, city, and ASN-level targeting βœ… Rotating and sticky sessions βœ… HTTP(S) and SOCKS5 support βœ… Works with Requests, Scrapy, Selenium, and Playwright 🎁 Exclusive offer for Machine Learning with Python members Eligible new users can receive up to 500MB of residential proxy traffic for testing. Use channel code: PYTHONSCRAPE πŸ‘‰ Start your test: https://www.thordata.com/?ls=MQiAFqAo&lk=ps-02 Available to eligible new users. The actual trial traffic may vary, up to a maximum of 500MB.

Monitored signal
Social signal5d ago

If you fully understand this article, you will understand inference better than 90% of people. And by the way, this is just the first material in the AI Performance Engineering repository. It's scary to think how much knowledge is contained in the rest. https://github.com/wafer-ai/gpu-perf-engineering-resources

Monitored signal
Social signal5d ago

List of Top 12 Coding Channels on WhatsApp: 1. Learn Python: https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l 2. Python Projects: https://whatsapp.com/channel/0029Vb6zn3T4tRs03Fxqe540 3. Learn Programming: https://whatsapp.com/channel/0029VbBFwlu6mYPEVcA5Ia3q 4. Coding Projects: https://whatsapp.com/channel/0029VamhFMt7j6fx4bYsX908 5. Java Programming: https://whatsapp.com/channel/0029Vb6XQ7QFi8xYXCQ5WW1p 6. Javascript: https://whatsapp.com/channel/0029VasBzkeI1rcju59xkO0Q 7. Web Development: https://whatsapp.com/channel/0029Vaxox5i5fM5givkwsH0A 8. Artificial Intelligence: https://whatsapp.com/channel/0029VbBDFBI9Gv7NCbFdkg36 9. Data Science: https://whatsapp.com/channel/0029VazVHza3rZZgQfp78y36 10. Machine Learning: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D 11. SQL: https://whatsapp.com/channel/0029Vb02HXwJf05dAWeMxr0u 12. Free Courses: https://whatsapp.com/channel/0029VbB8ROL4inogeP9o8E1l Like for more free resources ❀️

Monitored signal
Social signal6d ago

List of Top 12 Coding Channels on WhatsApp: 1. Learn Python: https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l 2. Python Projects: https://whatsapp.com/channel/0029Vb6zn3T4tRs03Fxqe540 3. Learn Programming: https://whatsapp.com/channel/0029VbBFwlu6mYPEVcA5Ia3q 4. Coding Projects: https://whatsapp.com/channel/0029VamhFMt7j6fx4bYsX908 5. Java Programming: https://whatsapp.com/channel/0029Vb6XQ7QFi8xYXCQ5WW1p 6. Javascript: https://whatsapp.com/channel/0029VasBzkeI1rcju59xkO0Q 7. Web Development: https://whatsapp.com/channel/0029Vaxox5i5fM5givkwsH0A 8. Artificial Intelligence: https://whatsapp.com/channel/0029VbBDFBI9Gv7NCbFdkg36 9. Data Science: https://whatsapp.com/channel/0029VazVHza3rZZgQfp78y36 10. Machine Learning: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D 11. SQL: https://whatsapp.com/channel/0029Vb02HXwJf05dAWeMxr0u 12. Free Courses: https://whatsapp.com/channel/0029VbB8ROL4inogeP9o8E1l Like for more free resources ❀️

Monitored signal
Social signal6d ago

πŸŽ“ Deep Learning for Images with PyTorch: CNNs to GANs #Data_Science #DataCamp 🏫 Platform: DataCamp πŸ†“ 100% FREE ━━━━━━━━━━━━━━━━━━━━ πŸ“ Course Details: This advanced computer vision course delivers a hands-on exploration of PyTorch across all major vision tasks. From Convolutional Neural Networks (CNNs) for image classification to advanced segmentation masks and Generative Adversarial Networks (GANs), it prepares practitioners for complex computer vision engineering tasks. Who It's For Advanced PyTorch practitioners, computer vision engineers, and machine learning research engineers seeking deep technical expertise in image processing and synthesis. Key Takeaways β€’ CNNs & Object Detection: Train CNNs for binary and multi-class classification, leverage pre-trained models, and evaluate object detection using bounding boxes. … πŸ“’ Channel: https://t.me/Courses27

Monitored signal
Social signal6d ago

πŸŽ“ Deep Learning for Text with PyTorch: NLP & Transformers #Data_Science #DataCamp 🏫 Platform: DataCamp πŸ†“ 100% FREE ━━━━━━━━━━━━━━━━━━━━ πŸ“ Course Details: Natural Language Processing has undergone massive advancements, and this advanced PyTorch course takes learners through the evolution of text modeling. Moving from standard tokenization and RNNs to modern Transformer architectures and attention mechanisms, it delivers a comprehensive blueprint for deep NLP application design. Who It's For Advanced machine learning engineers and NLP specialists who want to master PyTorch text preprocessing, recurrent networks, Transformers, and transfer learning. Key Takeaways β€’ Text Preprocessing & Encodings: Master tokenization, stemming, lemmatization, One-Hot, Bag-of-Words, and TF-IDF encodings for neural networks. … πŸ“’ Channel: https://t.me/Courses27

Monitored signal
Social signal6d ago

This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide." It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning. https://github.com/Nicolepcx/transformers-the-definitive-guide https://t.me/MachineLearning9 🀩

Monitored signal
Social signal1w ago

🧲 Your agent writes the tool. You keep the terminal closed. You know the shape of the script before you open the editor. The hour goes to argparse, a retry wrapper, a rate limiter you have written eleven times already. Create your own AI agent inside Telegram in about a minute, and create small tools with it right in the chat. ▫️ describe a tool in a sentence and it writes, runs and returns the working script ▫️ ships a mini-app inside Telegram β€” a form, a converter, a dashboard, no deploy and no hosting ▫️ drop in a traceback or a repo link and get the fix, not a lecture ▫️ swap the model per task with one command, so cheap work runs cheap ▫️ remembers your stack, your conventions and your project for months ▫️ voice in, answer back β€” describe the task on the way home, read the result when you are back Setup takes a minute: open the link, start the free trial, name your agent. 30 days free, no card needed. 🧲 Create your agent

Monitored signal
Social signal1w ago

Professor Steve Branton from the Mechanical Engineering Department at the University of Washington has uploaded a complete course on control theory for master's and doctoral students to YouTube. It's free. The course is called Control Bootcamp. It covers topics such as linear systems, stability and eigenvalues, controllability and observability, pole placement, the Kalman filter, LQR/LQG, robust control, and MPC – all explained sequentially with examples in Matlab. Branton is the Boeing Professor of AI & Data-Driven Engineering at the University of Washington. He holds a bachelor's degree in mathematics from Caltech, with a specialization in control and dynamical systems, and a Ph.D. in mechanical and aerospace engineering from Princeton. Playlist: https://youtube.com/playlist?list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085m

Monitored signal
Social signal1w ago

🌈 2026 Job-Seeker Toolkit – Free Interview & IT Cert Resources πŸ”₯The 2026 hiring market is shifting fast. We've put together a 100% free resource bundle covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity β€” including: βœ…Q&A banks & mock exams βœ…Behavioral interview guides βœ…Technical deep-dives for coding & infrastructure roles βœ…Real-world project scenarios Perfect for Software Developer Jobs, IT Internships, and Python Projects practice. 🎯 Interview Question Bank β†’ https://bit.ly/4A6m0hM πŸͺœ Online Free Course For Python & Excelβ†’https://bit.ly/46bUzWm πŸ“˜ Free Cert E‑Book β†’ https://bit.ly/4xXkAVx ☁️ Free AI Materials β†’ https://bit.ly/4xMBLJd πŸ“Š Cloud Study Guide β†’ https://bit.ly/4cAQ8rN 🧠 Free Mock Exam β†’ https://bit.ly/4xcp3Cx Tag a friend who's job-hunting or grinding Python projects β€” let's ace it together! πŸ’ͺ 🧠 Join Study Community: https://chat.whatsapp.com/DcpVeYSV6xNJzdBQU9eRyU ❄️ 1-on-1 support: https://wa.link/gyvbek

Monitored signal
Social signal1w ago

πŸ“š This is probably one of the best technical books on how large language models are trained at scale: > GPU memory and profiling > Breaking down computations into blocks, kernel fusion, and FlashAttention > Data parallelism, tensor parallelism, pipeline parallelism, and context parallelism I've already read the free online version, but I still had to buy a physical copy for my library. πŸ“– You can also read it for free on Hugging Face: https://huggingface.co/spaces/nanotron/ultrascale-playbook #LLM #AI #MachineLearning #TechBooks #DataScience #Coding ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Monitored signal
Social signal1w ago

πŸ‘‹ Welcome to Jobs204 β€” Remote Opportunities Bot! I track fresh remote job postings on LinkedIn every day across: 🐍 Python Development πŸ€– AI & Machine Learning πŸ“Š Data Science & Analytics 🌐 Web Development πŸ’» Software Engineering https://t.me/JobsFiBot?start=ref_channel

Monitored signal
Social signal1w ago

Try it, it's free, your AI assistant

Monitored signal
Social signal1w ago

For any assistance or consultations related to programming, machine learning, or deep learning, please contact me. t.me/husseinsheikho

Monitored signal
Social signal2w ago

Roadmap for those who want to become a robotics engineer: * Programming β†’ Python, C++ * Mathematics β†’ Linear algebra, calculus, probability theory * Electronics β†’ Sensors, motors, power systems * Embedded systems β†’ Microcontrollers, real-time operating systems, hardware interaction * Control theory β†’ PID controllers, modeling, stability * Mechanics β†’ Kinematics, dynamics, CAD systems * Linux β†’ Terminal, networking, debugging * Robotics software β†’ ROS 2 * Simulation β†’ Gazebo, Isaac Sim * Environmental perception β†’ Computer vision, LiDAR, sensor data fusion * Localization β†’ Kalman filters, SLAM Motion planning β†’ A, RRT, trajectory generation * Manipulator control β†’ Inverse kinematics, object grasping * AI for robotics β†’ Reinforcement learning * Building your own robots β†’ Drones, rovers, robotic arms * Autonomy β†’ Perception β†’ Planning β†’ Control * Deployment on real devices β†’ Edge computing, AI directly on board * Industrial robotics β†’ PLCs, production automation

Monitored signal
Social signal2w ago

Matrix Calculus for Machine Learning and Beyond! β€” a free ebook from MIT. This is the 2025 MIT textbook by Alan Edelman, Steven G. Johnson, and Paige Bright. The book directly connects matrix calculus to modern machine learning. Inside: * Derivatives of matrices and vectors * Jacobian and Hessian * Matrix decompositions * Optimization * Differentiation in reverse mode * Backpropagation of error * Automatic differentiation * Derivatives through ODEs * Problems focused on machine learning This is a comprehensive mathematical bridge between linear algebra, calculus, optimization, backpropagation, and machine learning. Free ebook: https://geni.us/Matrix-Calculus-Book

Monitored signal
Social signal2w ago

From machine learning and data visualization to time series and financial data. This repository contains 920 open-source Python projects, categorized into 34 groups. It's a great collection if you want to quickly find reliable libraries and tools for machine learning, data analysis, and related tasks, rather than searching everything manually on GitHub. https://github.com/lukasmasuch/best-of-ml-python

Monitored signal
BTCβ€”
SYNCING
ETHβ€”
SYNCING
NVDAβ€”
SYNCING
MSFTβ€”
SYNCING
Machine Learning with Python News & Profile | Hooshware