Machine Learning
38.9K subscribers
3.72K 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
πŸ“Œ Essential Guide to Continuous Ranked Probability Score (CRPS) for Forecasting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 7 min read

Learn how to evaluate probabilistic forecasts and how CRPS relates to other metrics
πŸ“Œ The Ultimate Guide to Vision Transformers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 8 min read

A comprehensive guide to the Vision Transformer (ViT) that revolutionized computer vision.
πŸ“Œ Targeting variants for maximum impact

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 8 min read

How to use causal inference to improve key business metrics Egor Kraev and Alexander Polyakov…
πŸ“Œ Navigating the New Types of LLM Agents and Architectures

πŸ—‚ Category:

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

My thanks to John Gilhuly for his contributions to this piece If 2023 was the…
πŸ“Œ Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 11 min read

A fresh look on our favorite upside-down tree
πŸ“Œ ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 3): Best AI Assistant for Machine Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

How AI can accelerate your ML projects from feature engineering to model training
This media is not supported in your browser
VIEW IN TELEGRAM
Awesome interactive textbook on probability theory and statistics

Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works

Get it here, I recommend opening it on a desktop
https://seeing-theory.brown.edu/

πŸ‘‰ @DataScienceM
Please open Telegram to view this post
VIEW IN TELEGRAM
❀2πŸ‘1
πŸ“Œ Compressing Large Language Models (LLMs)

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

Make LLMs 10X smaller without sacrificing performance
❀2
πŸ“Œ A Comprehensive Introduction to Marketing Data Engineering

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 21 min read

Fundamentals, responsibilities, and challenges
πŸ“Œ Hands On Neural Networks and Time Series, with Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 14 min read

From the very simple Feed Forward Neural Networks to the majestic transformers: everything you need…
πŸ“Œ The Power of Pandas Plots: Backends

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 6 min read

Create interactive graphics from Pandas effortlessly
πŸ“Œ Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-04 | ⏱️ Read time: 21 min read

Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational…
πŸ“Œ How to Build a Powerful Deep Research System

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-10-04 | ⏱️ Read time: 6 min read

Learn how to access vasts amounts of information with your own deep research system
πŸ“Œ Causal Machine Learning for Customer Retention: a Practical Guide with Python

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 25 min read

An accessible guide to leveraging causal machine learning for optimizing client retention strategies
πŸ“Œ How to Build a Genetic Algorithm from Scratch in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 16 min read

A complete walkthrough on how one can build a Genetic Algorithm from scratch in Python,…
❀1
πŸ“Œ Stop Being Data-Driven

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

Why we are fooled by data and how to stop it
πŸ“Œ Stop Manually Sorting Your List In Python If Performance Is Concerned

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-29 | ⏱️ Read time: 8 min read

A sorted collection library that is as fast as C-extensions
πŸ“Œ The Smarter Way of Using AI in Programming

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-29 | ⏱️ Read time: 7 min read

avoid the outdated methods of integrating AI into your coding workflow by going beyond ChatGPT
πŸ“Œ How to Create Custom Color Palettes in Matplotlib – Discrete vs. Linear Colormaps, Explained

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-29 | ⏱️ Read time: 6 min read

Actionable guide on how to bring custom colors to personalize your charts
πŸ“Œ The Essential Guide to Error-Checking and Reviewing Presentations

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-29 | ⏱️ Read time: 7 min read

An overlooked skill for Data Scientists (and not only)
πŸ“Œ LLMs, AI Agents, the Economics of Generative AI, and Other August Must-Reads

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-29 | ⏱️ Read time: 5 min read

The stories that resonated the most with our community in the past month