Machine Learning
39.2K subscribers
3.82K photos
32 videos
41 files
1.3K 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
πŸ“Œ Reranking Using Huggingface Transformers for Optimizing Retrieval in RAG Pipelines

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-08 | ⏱️ Read time: 9 min read

Understanding when reranking makes a difference
❀1
πŸ“Œ Predicting Every Election Since 1916

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-08 | ⏱️ Read time: 10 min read

How β€œelection pundit predictions” betray a misunderstanding of probability
πŸ“Œ Vision Transformer with BatchNorm: Optimizing the depth

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-11-08 | ⏱️ Read time: 16 min read

How integrating BatchNorm in a standard Vision transformer architecture results in faster convergence for a…
❀1
πŸ“Œ A 6-Month Detailed Plan to Build Your Junior Data Science Portfolio

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-11-08 | ⏱️ Read time: 13 min read

Step-by-step guide to creating, polishing, and deploying a portfolio that helps you land your first…
πŸ“Œ To Index or Not to Index

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-08 | ⏱️ Read time: 20 min read

Leverage SQL indexing to speed up your queries. Learn when to index, when not to,…
πŸ“Œ Why Is PoC Becoming Obsolete in the AI Era?

πŸ—‚ Category:

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

I recently had the chance to join the OxML 2024 program, which brings together people…
πŸ“Œ How to Query a Knowledge Graph with LLMs Using gRAG

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 28 min read

Google, Microsoft, LinkedIn, and many more tech companies are using Graph RAG. Why? Let’s understand…
πŸ“Œ Operational and Analytical Data

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

What is the difference and how should we treat data in the enterprise?
πŸ“Œ Rethinking LLM Benchmarks: Measuring True Reasoning Beyond Training Data

πŸ—‚ Category: APPLE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 6 min read

Apple’s New LLM Benchmark, GSM-Symbolic
πŸ“Œ Watermarking for AI Text and Synthetic Proteins: Fighting Misinformation and Bioterrorism

πŸ—‚ Category:

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

Understanding AI applications in bio for machine learning engineers
πŸ“Œ An Illusion of Life

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 9 min read

Could existing AI possibly be sentient? If not, what’s missing?
πŸ“Œ Beyond Math and Python: The Other Key Data Science Skills You Should Develop

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Optimizing the Data Processing Performance in PySpark

πŸ—‚ Category:

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 10 min read

PySpark techniques and strategies to tackle common performance challenges: A practical walkthrough
πŸ“Œ Random Forest, Explained: A Visual Guide with Code Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 15 min read

Making tree-mendous predictions with random trees
πŸ“Œ Tracing the Transformer in Diagrams

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 17 min read

What exactly do you put in, what exactly do you get out, and how do…
πŸ“Œ Adopting Spark Connect

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 19 min read

How we use a shared Spark server to make our Spark infrastructure more efficient
πŸ“Œ MIT Battlecode Reflections: A First-Time Finalist’s Takeaways

πŸ—‚ Category: GAMING

πŸ•’ Date: 2024-11-07 | ⏱️ Read time: 18 min read

Key Takeaways from a First-Time Contestant
✨ Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration ✨

πŸ“– Table of Contents Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration Why vLLM for Multimodal Inference The Challenges of Serving Image + Text Prompts at Scale Why Vanilla Approaches Fall Short How vLLM Solves Real-World Production Workloads Configuring Your…...

🏷️ #DeepLearning #ModelDeployment #Tutorial #vLLM
πŸ“Œ An Introduction to VLMs: The Future of Computer Vision Models

πŸ—‚ Category:

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 13 min read

Building a 28% more accurate multimodal image search engine with VLMs.
❀1
πŸ“Œ Kickstart Your Data Science Journey – A Guide for Aspiring Data Scientists

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 19 min read

Key Technical Skills You Need to Kick-start Your Career in Data Science
πŸ“Œ Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-11-06 | ⏱️ Read time: 8 min read

Can ML models learn to construct optimal customer journeys?