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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📌 5 Pillars for a Hyper-Optimized AI Workflow

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-03 | ⏱️ Read time: 8 min read

A gentle introduction to a methodology for creating production-ready, extensible & highly optimized AI workflows
📌 Information in Noise

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-03 | ⏱️ Read time: 4 min read

Two Techniques for Visualizing Many Time-Series at Once
📌 Subway Route Data Extraction with Overpass API: A Step-by-Step Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-03 | ⏱️ Read time: 11 min read

Simplify Geodata Extraction from OpenStreetMaps via the Overpass API
📌 Use R to build Clinical Flowchart with shinyCyJS

🗂 Category:

🕒 Date: 2024-09-03 | ⏱️ Read time: 6 min read

Customizable R package for Graph / Network visualization
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📌 Encoding Categorical Data, Explained: A Visual Guide with Code Example for Beginners

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-02 | ⏱️ Read time: 10 min read

Six ways of matchmaking categories and numbers
📌 An Easy Way to Remove Tourists from Photos

🗂 Category: PYTHON

🕒 Date: 2024-09-02 | ⏱️ Read time: 9 min read

Image cleanup with Python, PIL, and OpenCV
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📌 Mathematics of Love: Optimizing a Dining-Room Seating Arrangement for Weddings with Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-02 | ⏱️ Read time: 19 min read

Solving the Restricted Quadratic Multi-Knapsack Problem (RQMKP) with mathematical programming and Python
📌 Create Your Own Meal Planner Using ChatGPT

🗂 Category: CHATGPT

🕒 Date: 2024-09-02 | ⏱️ Read time: 19 min read

A brief guide to prompt engineering
📌 Training AI Models on CPU

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-01 | ⏱️ Read time: 16 min read

Revisiting CPU for ML in an Era of GPU Scarcity
📌 Building Scalable Data Platforms

🗂 Category: ANALYTICS

🕒 Date: 2024-09-01 | ⏱️ Read time: 14 min read

Data Mesh trends in data platform design
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📌 The DIY Path to AI Product Management: Picking a Starter Project

🗂 Category: CHATGPT

🕒 Date: 2024-08-31 | ⏱️ Read time: 8 min read

Building real-world skills through hands-on trial and error.
📌 Streamline Property Data Management: Advanced Data Extraction & Retrieval with Indexify

🗂 Category:

🕒 Date: 2024-08-31 | ⏱️ Read time: 15 min read

A Step-by-Step Guide to Document Querying with Indexify
📌 Data Scientists Can’t Excel in Python Without Mastering These Functions

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-31 | ⏱️ Read time: 11 min read

Introduction of Python’s core functions, use cases, noscripts, and underlying mechanisms
📌 How to Deal with Time Series Outliers

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-31 | ⏱️ Read time: 6 min read

Understanding, detecting and replacing outliers in time series
📌 Essential Guide to Continuous Ranked Probability Score (CRPS) for Forecasting

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-31 | ⏱️ Read time: 7 min read

Learn how to evaluate probabilistic forecasts and how CRPS relates to other metrics
📌 The Ultimate Guide to Vision Transformers

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min read

A comprehensive guide to the Vision Transformer (ViT) that revolutionized computer vision.
📌 Targeting variants for maximum impact

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min read

How to use causal inference to improve key business metrics Egor Kraev and Alexander Polyakov…
📌 Navigating the New Types of LLM Agents and Architectures

🗂 Category:

🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read

My thanks to John Gilhuly for his contributions to this piece If 2023 was the…
📌 Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-30 | ⏱️ Read time: 11 min read

A fresh look on our favorite upside-down tree
📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 3): Best AI Assistant for Machine Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read

How AI can accelerate your ML projects from feature engineering to model training
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Awesome interactive textbook on probability theory and statistics

Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works

Get it here, I recommend opening it on a desktop
https://seeing-theory.brown.edu/

👉 @DataScienceM
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