Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 A beginner’s guide to Tmux: a multitasking superpower for your terminal

🗂 Category: DEVELOPER TOOLS

🕒 Date: 2026-02-15 | ⏱️ Read time: 11 min read

One of the new things I’ve come across recently, while researching command-line-based coding assistants, is…

#DataScience #AI #Python
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AWS GenAI Developer Pro AIP-C01 Exam 2026

Mastering Agentic Workflows: Build Intelligent Agents, RAG Pipelines, and Guardrails to Pass the AWS GenAI Professional...

🏷 Category: it-and-software
🌍 Language: English (US)
👥 Students: 0 students
⭐️ Rating: 0.0/5.0 (0 reviews)
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💰 Price: $32.39 => FREE
🆔 Coupon: 995BE6A003191B61AA6A

⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity.

💎 By: https://news.1rj.ru/str/DataScienceC
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📌 The Strangest Bottleneck in Modern LLMs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-16 | ⏱️ Read time: 11 min read

Why insanely fast GPUs still can’t make LLMs feel instant

#DataScience #AI #Python
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Transformers in Action 2026

Top Book to understand Transformers

Download it free:
https://lve.to/7y3pyyul2z
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📌 Building a LangGraph Agent from Scratch

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-17 | ⏱️ Read time: 10 min read

Everything you need to know to get started

#DataScience #AI #Python
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🔖 An excellent resource for learning about neural networks

We're sharing a cool resource for learning about neural networks, offering clear, step-by-step instruction with dynamic visualizations and easy-to-understand explanations.

In addition, you'll find many other useful materials on machine learning on the site.

Find and use it — https://mlu-explain.github.io/neural-networks/

tags: #AI #ML #PYTHON

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📌 Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-17 | ⏱️ Read time: 9 min read

Conceptual overview and practical guidance

#DataScience #AI #Python
📌 Advance Planning for AI Project Evaluation

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-17 | ⏱️ Read time: 7 min read

The work to do before the work begins

#DataScience #AI #Python
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📌 Use OpenClaw to Make a Personal AI Assistant

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-17 | ⏱️ Read time: 10 min read

Learn how to set up OpenClaw as a personalized AI agent

#DataScience #AI #Python
📌 Can AI Solve Failures in Your Supply Chain?

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-18 | ⏱️ Read time: 16 min read

When your warehouse and transportation teams blame each other for late deliveries, who’s right? We…

#DataScience #AI #Python
📌 Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-02-18 | ⏱️ Read time: 13 min read

Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance…

#DataScience #AI #Python
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📌 Why Every Analytics Engineer Needs to Understand Data Architecture

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-02-18 | ⏱️ Read time: 11 min read

Get the data architecture right, and everything else becomes easier. I know it sounds simple,…

#DataScience #AI #Python
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📌 Agentic AI for Modern Deep Learning Experimentation

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-18 | ⏱️ Read time: 14 min read

Stop babysitting training runs. Start shipping research. Autonomous experiment management built for/by deep learning engineers.

#DataScience #AI #Python
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📌 The Missing Curriculum: Essential Concepts For Data Scientists in the Age of AI Coding Agents

🗂 Category: PROGRAMMING

🕒 Date: 2026-02-19 | ⏱️ Read time: 13 min read

AI can write the code, but you have to steer the ship. Master the knowledge…

#DataScience #AI #Python
📌 Understanding the Chi-Square Test Beyond the Formula

🗂 Category: STATISTICS

🕒 Date: 2026-02-19 | ⏱️ Read time: 17 min read

How categorical data becomes statistical evidence.

#DataScience #AI #Python
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NumPy, SciPy, Matplotlib & Pandas A-Z: Machine Learning

NumPy | SciPy | Matplotlib | Pandas | Machine Learning | Data Science | Deep Learning | Pre-Machine Learning Analysis...

🏷 Category: development
🌍 Language: English (US)
👥 Students: 50,779 students
⭐️ Rating: 4.2/5.0 (535 reviews)
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Expires In: 0D:3H:3M
💰 Price: $9.59 => FREE
🆔 Coupon: 7DB6093BEF7402EE7973

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💎 By: https://news.1rj.ru/str/DataScienceC
📌 AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-19 | ⏱️ Read time: 9 min read

All you need to know about Chain of Causation reasoning and the current state of…

#DataScience #AI #Python
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📌 AI in Multiple GPUs: How GPUs Communicate

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-19 | ⏱️ Read time: 5 min read

A deep dive into the hardware infrastructure that enables multi-GPU communication for AI workloads

#DataScience #AI #Python
📌 Donkeys, Not Unicorns

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-20 | ⏱️ Read time: 8 min read

The New Rules of Entrepreneurship in the Era of Commoditized Magic

#DataScience #AI #Python