Machine Learning – Telegram
Machine Learning
39.3K subscribers
3.85K photos
32 videos
42 files
1.31K links
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
Download Telegram
📌 Collision Risk in Hash-Based Surrogate Keys

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-11-20 | ⏱️ Read time: 14 min read

Various aspects and real-life analogies of the odds of having a hash collision when computing…
📌 How to Answer Business Questions with Data

🗂 Category: BUSINESS

🕒 Date: 2024-11-19 | ⏱️ Read time: 15 min read

Data analysis is the key to drive business decisions through answering abstract business questions but…
📌 Third-Year Work Anniversary as a Data Scientist: Growth, Reflections and Acceptance

🗂 Category: CAREER ADVICE

🕒 Date: 2024-11-19 | ⏱️ Read time: 8 min read

A letter to myself and fellow data scientists
📌 Linear programming: Integer Linear Programming with Branch and Bound

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 11 min read

Part 4: Extending linear programming optimization to discrete decision variables
📌 NLP Illustrated, Part 1: Text Encoding

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read

An illustrated guide to text-to-number translation, with code
📌 The Root Cause of Why Organizations Fail With Data & AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 34 min read

A guide to be successful with the strategic groundwork required
1
📌 Multimodal Models – LLMs that can see and hear

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read

An introduction with example Python code
📌 Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus

🗂 Category:

🕒 Date: 2024-11-19 | ⏱️ Read time: 7 min read

Dance Between Dense and Sparse Embeddings: Enabling Hybrid Search in LangChain-Milvus How to create and…
2
📌 Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 6 min read

A practical guide to run lightweight LLMs using python
📌 The Metrics of Continual Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read

These three metrics are commonly used
📌 Increasing Transformer Model Efficiency Through Attention Layer Optimization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read

How paying “better” attention can drive ML cost savings
📌 Navigating Networks with NetworkX: A Short Guide to Graphs in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read

Explore NetworkX for building, analyzing, and visualizing graphs in Python. Discovering Insights in Connected Data.
📌 Creating a frontend for your ML application with Vercel V0

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-18 | ⏱️ Read time: 9 min read

Develop an appealing frontend application using v0 by Vercel
📌 Data Validation with Pandera in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 10 min read

Validating your Dataframes for Production ML Pipelines
📌 From Local to Cloud: Estimating GPU Resources for Open-Source LLMs

🗂 Category:

🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read

Estimating GPU memory for deploying the latest open-source LLMs
📌 How to Reduce Python Runtime for Demanding Tasks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-17 | ⏱️ Read time: 8 min read

Practical techniques to accelerate heavy workloads with GPU optimization in Python
📌 Spoiler Alert: The Magic of RAG Does Not Come from AI

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-17 | ⏱️ Read time: 10 min read

Why retrieval, not generation, makes RAG systems magical
📌 Exploring Music Trannoscription with Multi-Modal Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-17 | ⏱️ Read time: 21 min read

Using Qwen2-Audio to transcribe music into sheet music
📌 Open the Artificial Brain: Sparse Autoencoders for LLM Inspection

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-16 | ⏱️ Read time: 15 min read

A deep dive into LLM visualization and interpretation using sparse autoencoders
📌 Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-16 | ⏱️ Read time: 12 min read

Stop using moving boxes!
📌 Introduction to the Finite Normal Mixtures in Regression with

🗂 Category:

🕒 Date: 2024-11-15 | ⏱️ Read time: 8 min read

In this post, we demonstrate how to simulate a finite mixture model for regression using…