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€–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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πŸ“Œ Deliver Your Data as a Product, But Not as an Application

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 11 min read

Data as a product is an intriguing concept, but beware of the application trap
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πŸ“Œ Predictive Marketing Mix Modeling with GLOP: The Perfect Cocktail Shaker

πŸ—‚ Category: MACHINE LEARNING

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

Maximizing profit using ML and GLOP (by Google) in the digital landscape
πŸ“Œ Multi-Headed Self Attention – By Hand

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 5 min read

Hand computing the cornerstone of modern AI.
πŸ“Œ A Practical Framework for Search Evaluation

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 15 min read

A Data-Driven Approach to Elevating User Experience and Business Performance with Search
πŸ€–πŸ§  ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes

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

Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ...

#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
πŸ“Œ Gower’s Distance for Mixed Categorical and Numerical Data

πŸ—‚ Category: DATA SCIENCE

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

A distance measure for mixed data that can be used for clustering
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πŸ“Œ EDA for Word Embeddings

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 16 min read

Data scientists use EDA for everything. Why not word embeddings?
πŸ“Œ t-Test : From Application to Theory

πŸ—‚ Category: MATHEMATICS

πŸ•’ Date: 2024-07-12 | ⏱️ Read time: 6 min read

An overview of the statistical tools, the motivation behind using these tools, and an explanation…
πŸ“Œ Running Local LLMs is More Useful and Easier Than You Think

πŸ—‚ Category:

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

A step-by-step guide to run Llama3 locally with Python