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
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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
πŸ“Œ Running a SOTA 7B Parameter Embedding Model on a Single GPU

πŸ—‚ Category:

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 19 min read

In this post I will explain how to run a state-of-the-art 7B parameter LLM based…
πŸ“Œ Improving Code Quality During Data Transformation with Polars

πŸ—‚ Category:

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 6 min read

Optimize your data workflows with Polars by improving code quality and refining transformations with these…
πŸ“Œ Structured Outputs and How to Use Them

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 5 min read

Building robustness and determinism in LLM applications
πŸ“Œ Pre-Commit & Git Hooks: Automate High Code Quality

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 6 min read

How to improve your code quality with pre-commit and git hooks
πŸ“Œ KernelSHAP can be misleading with correlated predictors

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 7 min read

A concrete case study
πŸ“Œ AI for the Absolute Novice – Intuitively and Exhaustively Explained

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 40 min read

From β€œI’ve never coded” to making an AI model from scratch.
πŸ“Œ LLMOps – Serve a Llama-3 model with BentoML

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-09 | ⏱️ Read time: 5 min read

Quickly set up LLM APIs with BentoML and Runpod