Machine Learning – Telegram
Machine Learning
39.9K subscribers
4.07K photos
37 videos
48 files
1.35K links
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
Download Telegram
🐱 5 of the Best GitHub Repos
🔃 for Data Scientists

👨🏻‍💻 When I was just starting out and trying to get into the "data" field, I had no one to guide me, nor did I know what exactly I should study. To be honest, I was confused for months and felt lost.

▶️ But doing projects was like water on fire and helped me a lot to build my skills.

Repo Awesome Data Analysis

🏷 A complete treasure trove of everything you need to start: SQL, Python, AI, data analysis, and more... In short, if you want to start from zero and strengthen your foundation, start here first.

                  


Repo Data Scientist Handbook

🏷 A concise handbook that tells you what you need to learn and what you can ignore for now.

                  


Repo Cookiecutter Data Science

🏷 A standard project template used by professionals. With this template, you can structure your data analysis and AI projects like a pro.

                  


Repo Data Science Cookie Cutter

🏷 This is also a very clean project template that teaches you how to build a data project that won’t fall apart tomorrow and can be easily updated. Meaning your projects will be useful in the real world from the start.

                  


Repo ML From Scratch

🏷 Here, the main AI algorithms are implemented from scratch in simple language. It’s great for understanding how models really work and for explaining them well in your interviews.

🌐 #Data_Science #DataScience
Please open Telegram to view this post
VIEW IN TELEGRAM
4
📌 How to Model The Expected Value of Marketing Campaigns

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-10 | ⏱️ Read time: 9 min read

The approach that takes companies to the next level of data maturity

#DataScience #AI #Python
5
📌 Not All RecSys Problems Are Created Equal

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-11 | ⏱️ Read time: 9 min read

How baseline strength, churn, and subjectivity determine complexity

#DataScience #AI #Python
3
📌 Building an AI Agent to Detect and Handle Anomalies in Time-Series Data

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-11 | ⏱️ Read time: 13 min read

Combining statistical detection with agentic decision-making

#DataScience #AI #Python
2
📌 AI in Multiple GPUs: Understanding the Host and Device Paradigm

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-12 | ⏱️ Read time: 7 min read

Learn how CPU and GPUs interact in the host-device paradigm

#DataScience #AI #Python
📌 How to Leverage Explainable AI for Better Business Decisions

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-12 | ⏱️ Read time: 10 min read

Moving beyond the black box to turn complex model outputs into actionable organizational strategies.

#DataScience #AI #Python
2💩1
📌 The Evolving Role of the ML Engineer

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-02-13 | ⏱️ Read time: 5 min read

Stephanie Kirmer on the $200 billion investment bubble, how AI companies can rebuild trust, and…

#DataScience #AI #Python
1
📌 AI in Multiple GPUs: Point-to-Point and Collective Operations

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-13 | ⏱️ Read time: 10 min read

Learn PyTorch distributed operations for multi GPU AI workloads

#DataScience #AI #Python
2👍1
📌 Your First 90 Days as a Data Scientist

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-14 | ⏱️ Read time: 8 min read

A practical onboarding checklist for building trust, business fluency, and data intuition

#DataScience #AI #Python
1
📌 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
Forwarded from Udemy Coupons
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)
🏃‍♂️ Enrollments Left: 987
Expires In: 4D:23H:48M
💰 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
3
📌 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
👍1
Transformers in Action 2026

Top Book to understand Transformers

Download it free:
https://lve.to/7y3pyyul2z
10
📌 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
1
This media is not supported in your browser
VIEW IN TELEGRAM
🔖 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

@CODEPROGRAMMER
Please open Telegram to view this post
VIEW IN TELEGRAM
1
📌 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
The biggest surprise for our valued audience: we are offering 40 paid courses completely free.

30 Enrollment Left:
Enroll Here and request
https://lve.to/jwxfnss0yi

We use a spam/flood protection system to ensure that all registered users are real people.
4
📌 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