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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Machine Learning pinned «⭐️ Hello my advertiser friend! I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯 💥 Promo Offer: Promote your ad across all our listed channels for only $35! 💰 📢 We accept all types and formats of advertisements.…»
📌 Conceptual Frameworks for Data Science Projects

🗂 Category: DATA SCIENCE

🕒 Date: 2025-10-19 | ⏱️ Read time: 18 min read

An overview of common framework types and a simple process for building custom frameworks
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📌 How to Build Guardrails for Effective Agents

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-10-19 | ⏱️ Read time: 7 min read

Learn how to set up effective guardrails to enforce desired behaviour from your agents
📌 Predicting Chicago Taxi Trips with R Time Series Model – BSTS

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 9 min read

Step-by-step tutorial on how to forecast number of taxi trips using R time series model
📌 Data Disruptions to Elevate Entity Embeddings

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-04 | ⏱️ Read time: 15 min read

Injecting random values during neural network training can help you get more from your categoricals
📌 Effective Strategies for Managing ML Initiatives

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 7 min read

Embracing uncertainty, right people, and learning from the data
📌 The Math Behind Gated Recurrent Units

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-04 | ⏱️ Read time: 33 min read

Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement…
📌 Understanding You Only Cache Once

🗂 Category:

🕒 Date: 2024-06-04 | ⏱️ Read time: 11 min read

This blog post will go in detail on the “You Only Cache Once: Decoder-Decoder Architectures…
📌 The Meaning of Explainability for AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read

Do we still care about how our machine learning does what it does?
📌 A Deep Dive into Fine-Tuning

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read

Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…
📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today!

🗂 Category: AGILE

🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read

Why data scientists should prioritize communication and flexibility in agile projects
📌 Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies

🗂 Category:

🕒 Date: 2024-06-03 | ⏱️ Read time: 15 min read

Abstract: applying ~1bit transformer technology to LoRA adapters allows us to reach comparable performance with…
📌 Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-03 | ⏱️ Read time: 9 min read

Reducing the memory consumption of your code means reducing hardware requirements
📌 ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited…

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-03 | ⏱️ Read time: 6 min read

A deep dive into PyTorch DataLoader with Multiprocessing
📌 Linear Attention Is All You Need

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-06-02 | ⏱️ Read time: 10 min read

Self-attention at a fraction of the cost?
📌 Measuring The Intrinsic Causal Influence Of Your Marketing Campaigns

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-02 | ⏱️ Read time: 11 min read

Causal AI, exploring the integration of causal reasoning into machine learning
📌 Comparing Country Sizes with GeoPandas

🗂 Category:

🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read

How to project, shift, and rotate geospatial data
📌 How I Use ChatGPT As A Data Scientist

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-02 | ⏱️ Read time: 8 min read

How ChatGPT improved my productivity as a data scientist
📌 PRISM-Rules in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read

A simple python rules-induction system
📌 Performance Insights from Sigma Rule Detections in Spark Streaming

🗂 Category: CYBERSECURITY

🕒 Date: 2024-06-01 | ⏱️ Read time: 13 min read

Utilizing Sigma rules for anomaly detection in cybersecurity logs: A study on performance optimization