Data Science Machine Learning Data Analysis
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1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
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7- Deep Learning

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πŸ“Œ The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-20 | ⏱️ Read time: 13 min read

Your 3am production alert isn’t a model problemβ€”it’s an upstream crisis in disguise
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πŸ“Œ Building a Modern Dashboard with Python and Tkinter

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 20 min read

Create polished GUIs and data dashboards with this versatile library
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πŸ“Œ Mastering NLP with spaCy – Part 3

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 7 min read

Rule-based matching for information extraction
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πŸ“Œ Help Your Model Learn the True Signal

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 15 min read

An algorithm-agnostic approach inspired by Cook’s distance
πŸ“Œ Capturing and Deploying PyTorch Models with torch.export

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 18 min read

A demonstration of PyTorch’s exciting new export feature on a HuggingFace model
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πŸ“Œ Advanced Prompt Engineering for Data Science Projects

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 11 min read

Part 2: Prompt Engineering for Features, Modeling, and Evaluation
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πŸ“Œ Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-19 | ⏱️ Read time: 9 min read

Water cooler small talk is a special kind of small talk, typically observed in office…
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πŸ“Œ Can LangExtract Turn Messy Clinical Notes into Structured Data?

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-18 | ⏱️ Read time: 7 min read

Turning raw clinical notes into structured entities with LLMs.
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πŸ“Œ Modular Arithmetic in Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-18 | ⏱️ Read time: 10 min read

Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching…
πŸ“Œ Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-09-06 | ⏱️ Read time: 10 min read

A guide to building modular workflows for structured intelligence
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πŸ“Œ Maximizing AI/ML Model Performance with PyTorch Compilation

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-08-18 | ⏱️ Read time: 31 min read

Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of…
πŸ“Œ How to Correctly Apply Limits on the Result in DAX (and SQL)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-18 | ⏱️ Read time: 8 min read

What if the output of a measure mustn’t be above a specific limit? How can…
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πŸ“Œ How to Create Powerful LLM Applications with Context Engineering

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-18 | ⏱️ Read time: 7 min read

Improve your LLM by optimizing its context
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πŸ“Œ LangGraph 101: Let’s Build A Deep Research Agent

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-14 | ⏱️ Read time: 32 min read

Learn LangGraph fundamentals from Google’s open-source full-stack implementation
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πŸ“Œ What Does β€œFollowing Best Practices” Mean in the Age of AI?

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-08-14 | ⏱️ Read time: 3 min read

How data and ML practitioners should navigate a rapidly changing landscape
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πŸ“Œ β€œMy biggest lesson was realizing that domain expertise matters more than algorithmic complexity.β€œ

πŸ—‚ Category: AUTHOR SPOTLIGHTS

πŸ•’ Date: 2025-08-14 | ⏱️ Read time: 8 min read

Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML…
πŸ“Œ How to Use LLMs for Powerful Automatic Evaluations

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-08-13 | ⏱️ Read time: 7 min read

A beginner-friendly introduction to LLM-as-a-Judge
πŸ“Œ Data Mesh Diaries: Realities from Early Adopters

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-08-13 | ⏱️ Read time: 7 min read

Early-adopter realities gathered from real data mesh implementations
πŸ“Œ Tips for Setting Expectations in AI Projects

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-08-13 | ⏱️ Read time: 8 min read

If you want your AI project to succeed, mastering expectation management comes first. When working…
πŸ“Œ A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-08-13 | ⏱️ Read time: 21 min read

Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch…
πŸ“Œ Reducing Time to Value for Data Science Projects: Part 4

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-08-12 | ⏱️ Read time: 11 min read

Embrace your inner software developer