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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This GitHub repository is a real treasure trove of free programming books.

Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more

GitHub: https://github.com/EbookFoundation/free-programming-books

https://news.1rj.ru/str/CodeProgrammer
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📌 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.
📌 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
📌 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…
📌 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.
📌 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
📌 Image Segmentation With K-Means Clustering

🗂 Category: MACHINE LEARNING

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

An introduction with Python
📌 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
📌 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
📌 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?
📌 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
📌 Your Pathway to Success: How You Can Land a Machine Learning and Data Science Internship

🗂 Category: CAREER ADVICE

🕒 Date: 2024-09-04 | ⏱️ Read time: 18 min read

Advice and tips from a data scientist who landed two internships in a year
📌 Understanding Time Series Structural Changes

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-04 | ⏱️ Read time: 7 min read

How to detect time series change points using Python
📌 Automated Prompt Engineering: The Definitive Hands-On Guide

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-04 | ⏱️ Read time: 26 min read

Learn how to automate prompt engineering and unlock significant performance improvements in your LLM workload
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📌 Monte Carlo Methods for Solving Reinforcement Learning Problems

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-04 | ⏱️ Read time: 20 min read

Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode III
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📌 Hands-On Global Optimization Methods, with Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-04 | ⏱️ Read time: 15 min read

Four methods to find the maximum (or minimum) of your black box objective function
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📌 How to Train a Vision Transformer (ViT) from Scratch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-04 | ⏱️ Read time: 13 min read

A practical guide to implementing the Vision Transformer (ViT)
📌 Batch And Streaming Demystified For Unification

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-09-04 | ⏱️ Read time: 29 min read

Understand how batch can be considered a subset of streaming and why data engineering should…
📌 How I Used Clustering to Improve Chunking and Build Better RAGs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-04 | ⏱️ Read time: 8 min read

It’s both fast and cost-effective
📌 Approximating Stochastic Functions with Multivariate Outputs

🗂 Category:

🕒 Date: 2024-09-04 | ⏱️ Read time: 25 min read

A generic approach for training probabilistic machine learning models