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 || @Hussein_Sheikho
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πŸ“Œ PyEnv & Poetry Tutorial: Ultimate Data Science Setup

πŸ—‚ Category: CODING

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 8 min read

How to use PyEnv and Poetry together for your environment and package management for data…
πŸ“Œ PySpark Explained: User-Defined Functions

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 10 min read

What are they, and how do you use them?
πŸ“Œ VerifAI Project: Open Source Biomedical Question Answering with Verified Answers

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 14 min read

Experiences from building LLM-based (Mistral 7B) biomedical question-answering system with hallucination detection method
πŸ“Œ Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 22 min read

β€œCorrelation does not mean causation.” So let’s calculate causation.
πŸ€–πŸ§  Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

πŸ—“οΈ 09 Oct 2025
πŸ“š AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture
πŸ“Œ A Sanity Check on β€˜Emergent Properties’ in Large Language Models

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 14 min read

LLMs are often said to have ’emergent properties’. But what do we even mean by…
πŸ“Œ Sampling from Multivariate Distributions: From Statistical to Generative Modeling

πŸ—‚ Category:

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 9 min read

Bridging classic statistical methods and cutting-edge generative AI models for sampling from multivariate distributions.
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πŸ“Œ Advanced Retrieval Techniques in a World of 2M Token Context Windows Part 1

πŸ—‚ Category:

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 7 min read

Exploring RAG techniques to improve retrieval
πŸ“Œ Chaining Pandas Operations: Strengths and Limitations

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-15 | ⏱️ Read time: 20 min read

Learn when it’s worth chaining Pandas operations in pipes.
πŸ“Œ LLM Agents Demystified

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-14 | ⏱️ Read time: 16 min read

Hands-on ReAct agent implementation with AdalFlow library
πŸ€–πŸ§  PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing

πŸ—“οΈ 09 Oct 2025
πŸ“š AI News & Trends

If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...

#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
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πŸ“Œ Three reasons why developers should use DuckDB

πŸ—‚ Category: SQL

πŸ•’ Date: 2024-07-14 | ⏱️ Read time: 5 min read

Developers often have to analyse data, e.g. assessing the impact of an outage. DuckDB is…
πŸ“Œ Essential Considerations for Implementing Machine Learning

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-13 | ⏱️ Read time: 8 min read

Is your use case a viable ML product from a traditional ML and production perspective?
πŸ“Œ Reinforcement Learning, Part 5: Temporal-Difference Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-13 | ⏱️ Read time: 18 min read

Intelligently synergizing dynamic programming and Monte Carlo algorithms
πŸ“Œ Why It Feels Impossible to Get a Data Science Job

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-13 | ⏱️ Read time: 10 min read

Reasons why the market is tough and what you can do about it
πŸ€–πŸ§  Gamma PPT AI : Unlock Presentations in Minutes

πŸ—“οΈ 10 Oct 2025
πŸ“š AI News & Trends

In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ...

#GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck
πŸ“Œ How to Deliver Successful Data Science Consulting Projects

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-13 | ⏱️ Read time: 11 min read

Key recommendations for how to succeed with data science consulting projects and build lasting client…
πŸ“Œ Lessons Learned as a Data Science Manager and Why I’m Moving Back to an Individual Contributor Role

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-07-13 | ⏱️ Read time: 11 min read

The three questions I asked myself that helped me pick my career path
πŸ“Œ Time Series Are Not That Different for LLMs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 8 min read

Harnessing the power of LLMs for time series modeling
πŸ“Œ Rainbow: The Colorful Evolution of Deep Q-Networks

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 20 min read

Everything you need to assemble the DQN Megazord in JAX.
πŸ€–πŸ§  How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

πŸ—“οΈ 11 Oct 2025
πŸ“š AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
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