Machine Learning – Telegram
Machine Learning
39.3K subscribers
3.86K photos
32 videos
42 files
1.31K 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
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🔥 Trending Repository: abogen

📝 Denoscription: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.

🔗 Repository URL: https://github.com/denizsafak/abogen

🌐 Website: https://pypi.org/project/abogen/

📖 Readme: https://github.com/denizsafak/abogen#readme

📊 Statistics:
🌟 Stars: 3.1K stars
👀 Watchers: 18
🍴 Forks: 159 forks

💻 Programming Languages: Python - Batchfile - Dockerfile

🏷️ Related Topics:
#text_to_speech #audiobook #tts #speech_synthesis #subnoscripts #audiobooks #narrator #content_creator #voice_synthesis #epub_converter #kokoro #content_creation #text_to_audio #media_generation #kokoro_tts #kokoro_82m


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: ML-From-Scratch

📝 Denoscription: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch

📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme

📊 Statistics:
🌟 Stars: 27.8K stars
👀 Watchers: 951
🍴 Forks: 4.8K forks

💻 Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch


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🧠 By: https://news.1rj.ru/str/DataScienceM
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📌 How to Context Engineer to Optimize Question Answering Pipelines

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read

Learn how to apply context engineering to enhance your question answering systems.
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📌 Showcasing Your Work on HuggingFace Spaces

🗂 Category: PRODUCTIVITY

🕒 Date: 2025-09-05 | ⏱️ Read time: 9 min read

Building an app is exciting – but sharing it is where the real value kicks…
1
📌 AI Operations Under the Hood: Challenges and Best Practices

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-09-05 | ⏱️ Read time: 18 min read

Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,…
📌 Zero-Inflated Data: A Comparison of Regression Models

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-05 | ⏱️ Read time: 13 min read

How to detect it and which model to choose.
📌 Tool Masking: The Layer MCP Forgot

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-05 | ⏱️ Read time: 16 min read

Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and…
📌 Should We Use LLMs As If They Were Swiss Knives?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-04 | ⏱️ Read time: 9 min read

A logic game performance comparison between popular LLMs and a custom-made algorithm
📌 A Visual Guide to Tuning Random Forest Hyperparameters

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-04 | ⏱️ Read time: 8 min read

How hyperparameter tuning visually changes random forests
📌 MobileNetV1 Paper Walkthrough: The Tiny Giant

🗂 Category: DEEP LEARNING

🕒 Date: 2025-09-04 | ⏱️ Read time: 26 min read

Understanding and implementing MobileNetV1 from scratch with PyTorch
📌 Using LangGraph and MCP Servers to Create My Own Voice Assistant

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-04 | ⏱️ Read time: 30 min read

Built over 14 days, all locally run, no API keys, cloud services, or subnoscription fees.
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📌 Boosting Your Anomaly Detection With LLMs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-04 | ⏱️ Read time: 17 min read

The 7 emerging application patterns you should know
📌 The Programming Skills You Need for Today’s Data Roles

🗂 Category: THE VARIABLE

🕒 Date: 2025-09-04 | ⏱️ Read time: 3 min read

How to stand out in a crowded field
📌 Useful Python Libraries You Might Not Have Heard Of:  Freezegun

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read

Bring time to a standstill in your Python tests
📌 AI FOMO, Shadow AI, and Other Business Problems

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read

What’s the state of AI in business these days, and how much does it cost…
📌 Hands On Time Series Modeling of Rare Events, with Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-03 | ⏱️ Read time: 11 min read

This is how to model rare events occurrences in a time series in a few…
📌 Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2

🗂 Category: MATH

🕒 Date: 2025-09-03 | ⏱️ Read time: 14 min read

The Ornstein-Uhlenbeck process in Python
1
📌 What Being a Data Scientist at a Startup Really Looks Like

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-03 | ⏱️ Read time: 9 min read

What I learned about growth, visibility, and chaos over the past five years
📌 A Deep Dive into RabbitMQ & Python’s Celery: How to Optimise Your Queues

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read

Key lessons I’ve learned running RabbitMQ + Celery in production
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📌 Implementing the Caesar Cipher in Python

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-02 | ⏱️ Read time: 7 min read

Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Named…
📌 How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques

🗂 Category: CONVERSATIONAL AI

🕒 Date: 2025-09-02 | ⏱️ Read time: 9 min read

Optimize your AI search with RAG, contextual retrieval and evaluations