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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📌 Optimising Budgets With Marketing Mix Models In Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-26 | ⏱️ Read time: 10 min read

Part 3 of a hands-on guide to help you master MMM in pymc
📌 How Cheap Mortgages Transformed Poland’s Real Estate Market

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-25 | ⏱️ Read time: 19 min read

Insights from a synthetic control group
📌 Choosing Classification Model Evaluation Criteria

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-25 | ⏱️ Read time: 9 min read

Is Recall / Precision better than Sensitivity / Specificity?
📌 Multi-Headed Cross Attention – By Hand

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read

Hand computing a fundamental component of multimodal models
📌 Does It Matter That Online Experiments Interact?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read

What interactions do, why they are just like any other change in the environment post-experiment,…
📌 A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize)

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 8 min read

Investigating Geoffrey Hinton’s Nobel Prize-winning work and building it from scratch using PyTorch
📌 Building Research Agents for Tech Insights

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-13 | ⏱️ Read time: 10 min read

Using a controlled workflow, unique data & prompt chaining
📌 Apollo and Design Choices of Video Large Multimodal Models (LMMs)

🗂 Category: META

🕒 Date: 2025-01-23 | ⏱️ Read time: 13 min read

Let’s Explore Major Design Choices from Meta’s Apollo Paper
📌 On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 15 min read

These 3 starter projects only take a weekend (and a few cups of coffee, maybe)
📌 The Solar Cycle(s): history, data analysis and trend forecasting.

🗂 Category: ANALYTICS

🕒 Date: 2025-01-23 | ⏱️ Read time: 14 min read

A brief article on the Solar Cycles: data analysis and time series forecasting for the…
📌 Simplicity Over Black Boxes

🗂 Category: ANALYTICS

🕒 Date: 2025-01-23 | ⏱️ Read time: 7 min read

Turning complex ML models into simple, interpretable rules with Human Knowledge Models for actionable insights…
📌 Building Successful AI Apps: The Dos and Don’ts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 9 min read

Data science demonstrates its value when applied to practical challenges. This article shares insights gained…
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📌 Nine Pico PIO Wats with MicroPython (Part 1)

🗂 Category: PROGRAMMING

🕒 Date: 2025-01-23 | ⏱️ Read time: 19 min read

Raspberry Pi programmable IO pitfalls illustrated with a musical example
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Machine Learning pinned «🚀🔥 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 — 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 Master the hottest skill in tech: building intelligent AI systems that think and act independently. Learn to build smart 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀, 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. 𝗘𝗮𝗿𝗻 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻…»
📌 Behind the Scenes of a Successful Data Analytics Project

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 10 min read

Learn the steps to approach any data analytics project like a pro.
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📌 Harmonizing and Pooling Datasets for Health Research in R

🗂 Category: CODING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

R code to extract data from unique datasets and combine them in one harmonized dataset…
📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems

🗂 Category:

🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read

How natural systems fundamental laws help explain AI’s unexpected abilities
📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
📌 How to Evaluate LLM Summarization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read

A practical and effective guide for evaluating AI summaries
📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read

Learn how to fine-tune ModernBERT and create augmentations of text samples
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