Machine Learning – Telegram
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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📌 What’s New in Computer Vision and Object Detection?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-11 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 How to Solve an Asset Storage Problem with Mathematical Programming

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-11 | ⏱️ Read time: 21 min read

Solving a two-dimensional assortment problem with Python and Gurobipy
📌 Prompt Engineering for Cognitive Flexibility

🗂 Category: CHATGPT

🕒 Date: 2024-07-11 | ⏱️ Read time: 10 min read

Practical insights and analysis from experiments with MMLU-Pro
📌 Towards Monosemanticity: A Step Towards Understanding Large Language Models

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-11 | ⏱️ Read time: 12 min read

Understanding the mechanistic interpretability research problem and reverse-engineering these large language models
📌 The Ultimate Handbook for LLM Quantization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 17 min read

A deep dive into LLM quantization and techniques
📌 Step-by-Step Guide to Creating Simulated Data in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 7 min read

A beginner-friendly tutorial on generating your own data for analysis and testing
📌 A Bird’s-Eye View on the Evolution of Language Models for Text Generation

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-10 | ⏱️ Read time: 8 min read

In this article I would like to share my notes on how language models (LMs)…
📌 Python + Google Earth Engine

🗂 Category:

🕒 Date: 2024-07-10 | ⏱️ Read time: 24 min read

How to clean MapBiomas LULC rasters for any shapefile in Brazil
📌 Leveraging Python Pint Units Handler Package – Part 2

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 10 min read

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

🗂 Category:

🕒 Date: 2024-07-10 | ⏱️ Read time: 12 min read

This blog post will go into detail on the “MEDUSA: Simple LLM Inference Acceleration Framework…
📌 How to Test Machine Learning Systems

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-10 | ⏱️ Read time: 18 min read

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

🗂 Category: PHYSICS

🕒 Date: 2024-07-10 | ⏱️ Read time: 7 min read

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

🗂 Category: PSYCHOLOGY

🕒 Date: 2024-07-10 | ⏱️ Read time: 22 min read

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

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-10 | ⏱️ Read time: 12 min read

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

🗂 Category: CAREER ADVICE

🕒 Date: 2024-07-09 | ⏱️ Read time: 5 min read

And stay competitive in a saturated job market
📌 Scaling Law Of Language Models

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-09 | ⏱️ Read time: 8 min read

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

🗂 Category: DATA SCIENCE

🕒 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
📌 Deep Dive into LSTMs & xLSTMs by Hand

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-09 | ⏱️ Read time: 13 min read

Explore the wisdom of LSTM leading into xLSTMs - a probable competition to the present-day LLMs
📌 Perception-Inspired Graph Convolution for Music Understanding Tasks

🗂 Category:

🕒 Date: 2024-07-09 | ⏱️ Read time: 12 min read

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

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-09 | ⏱️ Read time: 35 min read

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

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-09 | ⏱️ Read time: 13 min read

A guide to tracking in MLOps
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