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
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πŸ“Œ How the LLM Got Lost in the Network and Discovered Graph Reasoning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 10 min read

Enhancing large language models: A journey through graph reasoning and instruction-tuning
πŸ“Œ Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 16 min read

An overview of the most prominent methods in imitation learning while testing on a grid…
πŸ“Œ Water Cooler Small Talk: Gambler’s Fallacy and Ruin

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 12 min read

An intuitive and thorough explanation of gambling, luck, and risk to keep you from looking…
πŸ“Œ Can You See the War from Space?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 7 min read

Case study of the Russian-Ukrainian war
πŸ“Œ The Who, What, Why of AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 10 min read

Success starts with the questions no one else asks
πŸ“Œ The Data All Around Us: From Sports to Household Management

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Introducing NumPy, Part 2: Indexing Arrays

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 12 min read

Slicing and dicing like a pro
πŸ“Œ The β€œWho Does What” Guide To Enterprise Data Quality

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 10 min read

One answer and many best practices for how larger organizations can operationalizing data quality programs…
πŸ“Œ Introducing NumPy, Part 3: Manipulating Arrays

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-15 | ⏱️ Read time: 7 min read

Shaping, transposing, joining, and splitting arrays
πŸ“Œ Prediction vs. Search Models: What Data Scientists Are Missing

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-02 | ⏱️ Read time: 23 min read

How do platform firms set prices and make money?
πŸ“Œ AI Engineering and Evals as New Layers of Software Work

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-02 | ⏱️ Read time: 8 min read

How to maintain reliability in inherently stochastic systems
πŸ“Œ What Makes a Language Look Like Itself?

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2025-10-02 | ⏱️ Read time: 8 min read

How simple statistics reveal the visual fingerprints of 20 languages
πŸ“Œ Smarter, Not Harder: How AI’s Self-Doubt Unlocks Peak Performance

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-02 | ⏱️ Read time: 10 min read

β€œDeep Think with Confidence,β€β€Šβ€Ša smarter way to scale reasoning tasks without wasting a massive amount…
πŸ“Œ How to Build a Competency Framework for Data Science Teams

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 11 min read

For those leading Data Science teams, here are 6 essential competencies that separate juniors from…
πŸ“Œ Deploying your Llama Model via vLLM using SageMaker Endpoint

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-12 | ⏱️ Read time: 9 min read

Leveraging AWS’s MLOps platform to serve your LLM models
πŸ“Œ A Step-by-Step Guide to Build a Graph Learning System for a Movie Recommender

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-11 | ⏱️ Read time: 15 min read

Built with PyTorch Geometric and using MovieLens DataSet
πŸ“Œ Market Basket Analysis Using High Utility Itemset Mining

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-11 | ⏱️ Read time: 10 min read

Finding high-value patterns in transactions
πŸ“Œ Forecasting Germany’s Solar Energy Production: A Practical Approach with Prophet

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-11 | ⏱️ Read time: 8 min read

Analysis and implementation with Python
πŸ“Œ Is Your User Base Growing or Shrinking?

πŸ—‚ Category:

πŸ•’ Date: 2024-09-11 | ⏱️ Read time: 6 min read

How tracking customer segmentation and KPIs reveals the true health of your business
πŸ“Œ The Taylor Series, Explained

πŸ—‚ Category: CALCULUS

πŸ•’ Date: 2024-09-11 | ⏱️ Read time: 16 min read

A method for function approximation