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 Effective Strategies for Managing ML Initiatives

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-04 | ⏱️ Read time: 7 min read

Embracing uncertainty, right people, and learning from the data
πŸ“Œ The Math Behind Gated Recurrent Units

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-04 | ⏱️ Read time: 33 min read

Dive into advanced deep learning with gated recurrent units (GRUs), understand their mathematics, and implement…
πŸ“Œ Understanding You Only Cache Once

πŸ—‚ Category:

πŸ•’ Date: 2024-06-04 | ⏱️ Read time: 11 min read

This blog post will go in detail on the β€œYou Only Cache Once: Decoder-Decoder Architectures…
πŸ“Œ The Meaning of Explainability for AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-04 | ⏱️ Read time: 10 min read

Do we still care about how our machine learning does what it does?
πŸ“Œ A Deep Dive into Fine-Tuning

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2024-06-03 | ⏱️ Read time: 30 min read

Stepping out of the β€œcomfort zone” – part 3/3 of a deep-dive into domain adaptation…
πŸ“Œ The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today!

πŸ—‚ Category: AGILE

πŸ•’ Date: 2024-06-03 | ⏱️ Read time: 11 min read

Why data scientists should prioritize communication and flexibility in agile projects
πŸ“Œ Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies

πŸ—‚ Category:

πŸ•’ Date: 2024-06-03 | ⏱️ Read time: 15 min read

Abstract: applying ~1bit transformer technology to LoRA adapters allows us to reach comparable performance with…
πŸ“Œ Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-03 | ⏱️ Read time: 9 min read

Reducing the memory consumption of your code means reducing hardware requirements
πŸ“Œ ML Engineering 101: A Thorough Explanation of The Error β€œDataLoader worker (pid(s) xxx) exited…

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-03 | ⏱️ Read time: 6 min read

A deep dive into PyTorch DataLoader with Multiprocessing
πŸ“Œ Linear Attention Is All You Need

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-06-02 | ⏱️ Read time: 10 min read

Self-attention at a fraction of the cost?
πŸ“Œ Measuring The Intrinsic Causal Influence Of Your Marketing Campaigns

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-02 | ⏱️ Read time: 11 min read

Causal AI, exploring the integration of causal reasoning into machine learning
πŸ“Œ Comparing Country Sizes with GeoPandas

πŸ—‚ Category:

πŸ•’ Date: 2024-06-02 | ⏱️ Read time: 14 min read

How to project, shift, and rotate geospatial data
πŸ“Œ How I Use ChatGPT As A Data Scientist

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-02 | ⏱️ Read time: 8 min read

How ChatGPT improved my productivity as a data scientist
πŸ“Œ PRISM-Rules in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-02 | ⏱️ Read time: 14 min read

A simple python rules-induction system
πŸ“Œ Performance Insights from Sigma Rule Detections in Spark Streaming

πŸ—‚ Category: CYBERSECURITY

πŸ•’ Date: 2024-06-01 | ⏱️ Read time: 13 min read

Utilizing Sigma rules for anomaly detection in cybersecurity logs: A study on performance optimization
πŸ“Œ Why You Don’t Need JS to Make 3D plots

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-01 | ⏱️ Read time: 6 min read

Visualizing crime geodata in python
πŸ“Œ AI Use Cases are Fundamentally Different

πŸ—‚ Category: ROBOTICS

πŸ•’ Date: 2024-05-31 | ⏱️ Read time: 9 min read

How to find unique use cases for AI and places where moderate AI performance is…
πŸ“Œ YOLO – Intuitively and Exhaustively Explained

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-05-31 | ⏱️ Read time: 31 min read

The genesis of the most widely used object detection models.
πŸ“Œ A Deep Dive into In-Context Learning

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2024-05-31 | ⏱️ Read time: 11 min read

Stepping out of the β€œcomfort zone” – part 2/3 of a deep-dive into domain adaptation…
πŸ“Œ Deep Dive into Anthropic’s Sparse Autoencoders by Hand

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-05-31 | ⏱️ Read time: 12 min read

Explore the concepts behind the interpretability quest for LLMs
πŸ“Œ On-Device Machine Learning in Spatial Computing

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-02-17 | ⏱️ Read time: 18 min read

The landscape of computing is undergoing a profound transformation with the emergence of spatial computing…