Machine Learning
38.9K subscribers
3.73K photos
31 videos
40 files
1.29K 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
Download Telegram
📌 Monocular Depth Estimation with Depth Anything V2

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-24 | ⏱️ Read time: 11 min read

How do neural networks learn to estimate depth from 2D images?
📌 Organizations’ Machine Learning Investment Is (or Should Be) Incremental

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read

Embedding ML systems into production is still a hard thing to do (for most companies)
📌 Evolution of Data Science: New Age Skills for the Modern End-to-End Data Scientist

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 27 min read

From Python scripting to data engineering, MLOps, and GenAI
📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read

A detailed walkthrough on transforming simple chatbots into sophisticated AI assistants with long-term memory and…
📌 Summer Olympic Games Through the Lens of Data

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read

Using Python and Wikipedia to draw geographical and network maps of the medal-winning countries.
📌 I Used to Hate Overfitting, But Now I’m Grokking It

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min read

The surprising generalisation beyond overfitting
1
📌 Line By Line, Let’s Reproduce GPT-2: Section 1

🗂 Category:

🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read

This blog post will go line-by-line through the code in Section 1 of Andrej Karpathy’s…
📌 Counterfactuals in Language AI

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read

with open source language models and LLMs
📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and…

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-23 | ⏱️ Read time: 31 min read

How mathematical innovations yield increasingly more accurate models of the physical world
1
📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read

A deep dive into absolute, relative, and rotary positional embeddings with code examples
📌 Battling Open Book Exams with Open Source LLMs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read

In the age where everyone uses ChatGPT for work and school, I am taking advantage…
📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases

🗂 Category:

🕒 Date: 2024-07-19 | ⏱️ Read time: 18 min read

How to create a production-grade pipeline for object detection
📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts

🗂 Category: CHATGPT

🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read

Is ChatGPT becoming a BI tool?
📌 Constrained Sentence Generation Using Gibbs Sampling and BERT

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read

A fast and effective approach to generating fluent sentences from given keywords using public pre-trained…
📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-19 | ⏱️ Read time: 6 min read

A guide to the most popular techniques when randomized A/B testing is not possible
📌 YOLO inference with Docker via API

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read

Learn how to orchestrate object detection inference via a REST API with Docker
1
📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3)

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 9 min read

Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D…
📌 Towards Generalization on Graphs: From Invariance to Causality

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 19 min read

This blog post shares recent papers on out-of-distribution generalization on graph-structured data
🎉 Welcome to Inside Ads! 🚀

Inside Ads – a smart tool for growing and monetizing your Telegram channels.

🔥 Benefits of Inside Ads:

Earn without ad posts – make money from your channel even without publishing ads.
Pay for subscribers, not views – you only pay for real subscribers, not vanity metrics.
Subscriber exchange – attract an audience by exchanging subscribers with other channels.
Automatic ad content creation – generate promotional links and posts with one click.
Supports all channel types – works with private and public channels, as well as groups.
Regular payments – earn and receive your payments consistently and on time.

🚀 Start earning and growing your subscribers today!
https://t.iss.one/InsideAds_bot/openRU?startapp=r_148350890
📌 How to Plan for Your Next Career Move in Data Science and Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-18 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features