Machine Learning – Telegram
Machine Learning
@DataScienceM
39.2K subscribers
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32 videos
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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
39.2K subscribers
Machine Learning
📌 From Theory to Practice with Particle Swarm Optimization, Using Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-07 | ⏱️ Read time: 11 min read

Here’s a tutorial on what PSO is and how to use it
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📌 Forever Learning: Why AI Struggles with Adapting to New Challenges

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-07 | ⏱️ Read time: 16 min read

Understanding the limits of deep learning and the quest for true continual adaptation
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📌 Achieve Better Classification Results with ClassificationThresholdTuner

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-07 | ⏱️ Read time: 37 min read

A python tool to tune and visualize the threshold choices for binary and multi-class classification…
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📌 Why Ratios Trump Raw Numbers in Business Health

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read

Understanding ratios is key to unlocking deeper insights into your business’s health and driving smarter…
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📌 Heatmap for Confusion Matrix in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 5 min read

One image can be worth of thousands words.
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📌 How to Implement Graph RAG Using Knowledge Graphs and Vector Databases

🗂 Category:

🕒 Date: 2024-09-06 | ⏱️ Read time: 49 min read

The accompanying code for this tutorial is here. My last blog post was about how to implement knowledge…
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📌 An Intuitive Introduction to Reinforcement Learning, Part I

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-06 | ⏱️ Read time: 21 min read

Exploring popular reinforcement learning environments, in a beginner-friendly way
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📌 Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 10 min read

Transforming adult-sized data for child-like models
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📌 The Evolution of Llama: From Llama 1 to Llama 3.1

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 17 min read

A Comprehensive Guide to the Advancements and Innovations in the Family of Llama Models from…
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Forwarded from Machine Learning with Python
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Machine Learning
📌 A Guide to Clustering Algorithms

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read

An overview of clustering and the different families of clustering algorithms.
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📌 Reasoning as the Engine Driving Legal Arguments

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read

Statements of reasoning indicate types of argument
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📌 Building a Multilingual Multi-Agent Chat Application Using LangGraph – Part I

🗂 Category:

🕒 Date: 2024-09-06 | ⏱️ Read time: 12 min read

In this 3-part series, learn how to build a RAG-based, multilingual, agentic chat application to…
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📌 How to Create a Custom Matplotlib Theme and Make Your Charts Go from Boring to Amazing

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-05 | ⏱️ Read time: 6 min read

The best part? You’ll only have to do this once.
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📌 An Introduction to Bayesian A/B Testing

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-05 | ⏱️ Read time: 7 min read

Gain better insights from your data
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📌 Image Segmentation With K-Means Clustering

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read

An introduction with Python
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📌 How to Make an Advanced Spider Chart in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-05 | ⏱️ Read time: 8 min read

Step-by-step explanation with an easy to use function at the end
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📌 The Latest on LLMs: Decision-Making, Knowledge Graphs, Reasoning Skills, and More

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-05 | ⏱️ Read time: 5 min read

Our weekly selection of must-read Editors’ Picks and original features
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📌 My Weekly Calendar as a Senior Data Science Manager

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-05 | ⏱️ Read time: 17 min read

My goal is to cover the 3Ps: People, Projects and Process. In that order of…
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📌 GPTs and the Forehead Detective

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-05 | ⏱️ Read time: 14 min read

Are the reasoning capabilities of OpenAI LLMs good enough to play the classic guessing game?
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📌 Peer Review Demystified: What, Why, and How

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-04 | ⏱️ Read time: 12 min read

Learnings as an AI & Robotics Associate Editor with 100 Peer Reviews
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