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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πŸ“Œ ML Metamorphosis: Chaining ML Models for Optimized Results

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-23 | ⏱️ Read time: 8 min read

The universal principle of knowledge distillation, model compression, and rule extraction
πŸ“Œ Mastering Back-of-the-Envelope Math Will Make You a Better Data Scientist

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-10-23 | ⏱️ Read time: 14 min read

A quick and dirty answer is often more helpful than a fancy model
πŸ“Œ An Introduction to Using PCA for Outlier Detection

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 18 min read

A surprisingly effective means to identify outliers in numeric data
πŸ“Œ Comprehensive Guide to Crafting a Perfect CV in Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 22 min read

Impress recruiters and land your dream job by creating a standout resume
πŸ“Œ Image Data Collection for Climate Change Analysis

πŸ—‚ Category: CLIMATE CHANGE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 9 min read

A beginner’s guide
πŸ“Œ Universal Data Supply: Know Your Business

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 10 min read

An industry example to emphasize the importance of understanding your business case
πŸ“Œ Self-Service ML with Relational Deep Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 8 min read

Do ML directly on your relational database
πŸ“Œ Deep Learning vs Data Science: Who Will Win?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 14 min read

What is more important, your data or your model?
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πŸ“Œ Why Scaling Works: Inductive Biases vs The Bitter Lesson

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 11 min read

Building deep insights with a toy problem
πŸ“Œ Game Theory, Part 1 – The Prisoner’s Dilemma Problem

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 7 min read

Game theory is prevalent in real-life scenarios and decision-making
πŸ“Œ Using Vector Steering to Improve Model Guidance

πŸ—‚ Category:

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 10 min read

Exploring the Research on Vector Steering and Coding Up an Implementation
πŸ“Œ Discretization, Explained: A Visual Guide with Code Examples for Beginners

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-22 | ⏱️ Read time: 10 min read

6 fun ways to categorize numbers into bins!
πŸ“Œ Unleash the Power of Probability to Predict the Future of Your Business

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 14 min read

A Practical Guide to Applying Probability Concepts with Python in Real-World Contexts
πŸ“Œ OLAP is Dead – Or Is It ?

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 16 min read

OLAP’s fate in the age of modern analytics
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πŸ“Œ Awesome Plotly with Code Series (Part 1): Alternatives to Bar Charts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 14 min read

A bar chart is not always the best solution.
πŸ“Œ Don’t Do Laundry Today, It Will Be Cheaper Tomorrow

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 19 min read

Analysing electricity price changes in London through causal inference
πŸ“Œ The Power of Optimization in Designing Experiments Involving Small Samples

πŸ—‚ Category:

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 11 min read

A step-by-step guide to designing more precise experiments using optimization in Python
πŸ“Œ Efficient Document Chunking Using LLMs: Unlocking Knowledge One Block at a Time

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 9 min read

This article explains how to use an LLM (Large Language Model) to perform the chunking…
πŸ“Œ SQL and Data Modelling in Action: A Deep Dive into Data Lakehouses

πŸ—‚ Category: SQL

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 12 min read

Lakehouses as a continuation of data warehouses and data lakes. What is this architecture about?
πŸ“Œ Linked Lists – Data Structures & Algorithms for Data Scientists

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-21 | ⏱️ Read time: 6 min read

How linked lists and queues work under the hood
πŸ“Œ Evaluating Model Retraining Strategies

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-20 | ⏱️ Read time: 11 min read

How data drift and concept drift matter to choose the right retraining strategy?