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 Leveraging Python Pint Units Handler Package – Part 2

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 10 min read

Create your customized unit registry for physical quantities in Python
πŸ“Œ Exploring Medusa and Multi-Token Prediction

πŸ—‚ Category:

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 12 min read

This blog post will go into detail on the β€œMEDUSA: Simple LLM Inference Acceleration Framework…
πŸ“Œ How to Test Machine Learning Systems

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 18 min read

From Concepts to Practical Code Snippets for Effective Testing
πŸ“Œ Heat Diffusion in a Thin Metal Rod

πŸ—‚ Category: PHYSICS

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 7 min read

What would happen if you heated a small section of an insulated metal rod and…
πŸ“Œ Language Models and Spatial Reasoning: What’s Good, What Is Still Terrible, and What Is Improving

πŸ—‚ Category: PSYCHOLOGY

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 22 min read

A review of capabilities as of July 2024
πŸ“Œ Delta Lake Optimistic Concurrency Control: To Lock or Not to Lock?

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-10 | ⏱️ Read time: 12 min read

Delta Lake Concurrency Management and its relevance
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πŸ“Œ AI-Proof Your Data Science Skill Set by Embracing Four Timeless Concepts

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 5 min read

And stay competitive in a saturated job market
πŸ“Œ Scaling Law Of Language Models

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 8 min read

How language models scale with model size, training data, and training compute
πŸ“Œ Conversational Analysis Is the Future for Enterprise Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 9 min read

LLMs won’t replace data scientists, but they will change how we collaborate with decision makers
πŸ“Œ Deep Dive into LSTMs & xLSTMs by Hand

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 13 min read

Explore the wisdom of LSTM leading into xLSTMsβ€Š-β€Ša probable competition to the present-day LLMs
πŸ“Œ Perception-Inspired Graph Convolution for Music Understanding Tasks

πŸ—‚ Category:

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 12 min read

This article discusses MusGConv, a perception-inspired graph convolution block for symbolic musical applications.
πŸ“Œ Spicing up Ice Hockey with AI: Player Tracking with Computer Vision

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 35 min read

Using PyTorch, computer vision techniques, and a CNN, I worked on a model that tracks…
πŸ“Œ Tracking in Practice: Code, Data and ML Model

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 13 min read

A guide to tracking in MLOps
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πŸ“Œ Doping: A Technique to Test Outlier Detectors

πŸ—‚ Category:

πŸ•’ Date: 2024-07-09 | ⏱️ Read time: 18 min read

Using well-crafted synthetic data to compare and evaluate outlier detectors
πŸ“Œ Implementing Neural Networks in TensorFlow (and PyTorch)

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 6 min read

Step-by-step code guide on building a Neural Network
πŸ“Œ TensorFlow Transform: Ensuring Seamless Data Preparation in Production

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 10 min read

Leveraging TensorFlow Transform for scaling data pipelines for production environments
πŸ“Œ NLP: Text Summarization and Keyword Extraction on Property Rental Listings – Part 1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 13 min read

A practical implementation of NLP techniques such as text summarization, NER, topic modeling, and text…
πŸ“Œ Is LLM Performance Predetermined by Their Genetic Code?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 9 min read

Exploring phylogenetic algorithms to predict the future of large language models
πŸ€–πŸ§  Artificial Intelligence: A Modern Approach β€” The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig

πŸ—“οΈ 12 Oct 2025
πŸ“š AI News & Trends

When it comes to learning artificial intelligence (AI), few resources hold as much authority as β€œArtificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig. Often regarded as the β€œBible of AI”, this textbook has become the most widely used academic reference in the field adopted by over 1,500 universities and institutions worldwide. Published ...

#ArtificialIntelligence #AIModernApproach #StuartRussell #PeterNorvig #AIBible #AIEducation
πŸ“Œ Creative Canvas: Using AI to Paint, Edit, and Stylize Images

πŸ—‚ Category:

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 22 min read

I explored commercial and open-source photo editing systems for the creative use of AI image…
πŸ“Œ How Many Cars Are in This Aerial Imagery? Let’s Count Them with YOLOv8 from Scratch!

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-08 | ⏱️ Read time: 14 min read

A Step-by-Step Guide to Deploy YOLOv8 for Object Detection and Counting on Your Customized Database…