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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📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read

A detailed walkthrough on transforming simple chatbots into sophisticated AI assistants with long-term memory and…
📌 Summer Olympic Games Through the Lens of Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read

Using Python and Wikipedia to draw geographical and network maps of the medal-winning countries.
📌 I Used to Hate Overfitting, But Now I’m Grokking It

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min read

The surprising generalisation beyond overfitting
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📌 Line By Line, Let’s Reproduce GPT-2: Section 1

🗂 Category:

🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read

This blog post will go line-by-line through the code in Section 1 of Andrej Karpathy’s…
📌 Counterfactuals in Language AI

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read

with open source language models and LLMs
📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and…

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 31 min read

How mathematical innovations yield increasingly more accurate models of the physical world
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📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read

A deep dive into absolute, relative, and rotary positional embeddings with code examples
📌 Battling Open Book Exams with Open Source LLMs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read

In the age where everyone uses ChatGPT for work and school, I am taking advantage…
📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases

🗂 Category:

🕒 Date: 2024-07-19 | ⏱️ Read time: 18 min read

How to create a production-grade pipeline for object detection
📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts

🗂 Category: CHATGPT

🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read

Is ChatGPT becoming a BI tool?
📌 Constrained Sentence Generation Using Gibbs Sampling and BERT

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read

A fast and effective approach to generating fluent sentences from given keywords using public pre-trained…
📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-19 | ⏱️ Read time: 6 min read

A guide to the most popular techniques when randomized A/B testing is not possible
📌 YOLO inference with Docker via API

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read

Learn how to orchestrate object detection inference via a REST API with Docker
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📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3)

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 9 min read

Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D…
📌 Towards Generalization on Graphs: From Invariance to Causality

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 19 min read

This blog post shares recent papers on out-of-distribution generalization on graph-structured data
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📌 How to Plan for Your Next Career Move in Data Science and Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 Introducing Path-Swarm & Super-Swarm: Next Level Swarm Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 44 min read

Learn about Path-Swarm Charts and create you own with Python
🤖🧠 Join the 5-Day AI Agents Intensive Course with Google

🗓️ 07 Oct 2025
📚 AI News & Trends

Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents — intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from ...

#aiagents #dayai #googleartificial #agentsintelligent #ai #evolvingchatbots
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📌 Why Machine Learning Is Not Made for Causal Estimation

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-18 | ⏱️ Read time: 17 min read

Predictive vs. causal inference: a critical distinction
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📌 AI, Write and Style My CV

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-18 | ⏱️ Read time: 26 min read

Agentic Workflow Writing Structured Documents, A Line-by-Line Tutorial