Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ Paper Walkthrough: Vision Transformer (ViT)

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 20 min read

Exploring Vision Transformer (ViT) through PyTorch Implementation from Scratch.
πŸ“Œ Four Visualisation Libraries That Seamlessly Integrate With Pandas Dataframe

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 5 min read

Make use of Pandas plotting backend for the easiest plotting
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πŸ“Œ Avoid Building a Data Platform in 2024

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 16 min read

Why articles about β€˜Building a Data Platform’ are mostly misleading
πŸ“Œ Unleashing the Power of Triton: Mastering GPU Kernel Optimization in Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 11 min read

Accelerating AI/ML Model Training with Custom Operators – Part 2
πŸ“Œ What to Study if you Want to Master LLMs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 6 min read

What foundational concepts should you study if you want to understand Large Language Models?
πŸ“Œ Stars of the 2024 Paris Olympics

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 8 min read

How to use Wikipedia data to visualize the popularity of top athletes and Olympic sports
πŸ“Œ My Honest Advice for Someone Who Wants to Become a Data Scientist

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 7 min read

What I wish someone would tell me before studying data science
πŸ“Œ LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 20 min read

This article shows how to extract desired or key information from semi-structured or unstructured information…
πŸ“Œ New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 7 min read

Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
πŸ“Œ The Poisson Bootstrap

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 10 min read

Bootstrapping over large datasets
πŸ“Œ Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 18 min read

Breaking the problem solves half of it. Chaining them makes it even better.
πŸ“Œ AI Agents – From Concepts to Practical Implementation in Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 12 min read

This will change the way you think about AI and its capabilities
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πŸ“Œ How to practice data analyst interviews with AI

πŸ—‚ Category:

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 8 min read

Using LLMs to generate synthetic data and code
πŸ“Œ Top Career Websites for Data Engineers

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-08-11 | ⏱️ Read time: 9 min read

How to find fantastic remote jobs and get hired
πŸ“Œ Accelerating AI/ML Model Training with Custom Operators

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-11 | ⏱️ Read time: 18 min read

On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…
πŸ“Œ Introduction to Support Vector Machinesβ€Š-β€ŠMotivation and Basics

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-10 | ⏱️ Read time: 8 min read

Learn basic concepts that make Support Vector Machine a powerful linear classifier
πŸ“Œ Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-10 | ⏱️ Read time: 19 min read

Perspective on Performance Optimisation and Data Quality
πŸ“Œ Which Regression technique should you use?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-10 | ⏱️ Read time: 12 min read

Here’s a taxonomy of what is the best regression technique based on your specific dataset
πŸ“Œ Data Scaling 101: Standardization and Min-Max Scaling Explained

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-10 | ⏱️ Read time: 5 min read

When to use MinMaxScaler vs StandardScaler vs something else
πŸ“Œ Algorithm-Agnostic Model Building with MLflow

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-10 | ⏱️ Read time: 10 min read

A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc