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.
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Machine Learning
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Machine Learning
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From LangExtract to LangGraph: LLM Optimization, Explained
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Category: THE VARIABLE
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Date: 2025-08-21 |
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Read time: 3 min read
Cutting-edge workflows, new libraries, and more
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Everything You Need to Know About the New Power BI Storage Mode
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Category: DATA SCIENCE
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Date: 2025-08-20 |
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Read time: 18 min read
50 Shades of Direct Lake
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AI Agents for Supply Chain Optimisation: Production Planning
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-20 |
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Read time: 9 min read
How to integrate an optimisation algorithm in a FastAPI microservice and connect it with anβ¦
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Smarter Model Tuning: An AI Agent with LangGraph + Streamlit That Boosts ML Performance
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Category: AGENTIC AI
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Date: 2025-08-20 |
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Read time: 12 min read
Automating model tuning in Python with Gemini, LangGraph, and Streamlit for regression and classification improvements
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βWhereβs Marta?β: How We Removed Uncertainty From AI Reasoning
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Category: LLM APPLICATIONS
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Date: 2025-08-20 |
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Read time: 12 min read
A primer on overcoming LLM limitations with formal verification.
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The Upstream Mentality: Why AI/ML Engineers Must Think Beyond the Model
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-20 |
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Read time: 13 min read
Your 3am production alert isnβt a model problemβitβs an upstream crisis in disguise
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Building a Modern Dashboard with Python and Tkinter
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Category: PROGRAMMING
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Date: 2025-08-19 |
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Read time: 20 min read
Create polished GUIs and data dashboards with this versatile library
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Mastering NLP with spaCy β Part 3
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Category: DATA SCIENCE
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Date: 2025-08-19 |
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Read time: 7 min read
Rule-based matching for information extraction
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Help Your Model Learn the True Signal
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Category: MACHINE LEARNING
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Date: 2025-08-19 |
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Read time: 15 min read
An algorithm-agnostic approach inspired by Cookβs distance
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Capturing and Deploying PyTorch Models with torch.export
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-19 |
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Read time: 18 min read
A demonstration of PyTorchβs exciting new export feature on a HuggingFace model
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Advanced Prompt Engineering for Data Science Projects
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-19 |
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Read time: 11 min read
Part 2: Prompt Engineering for Features, Modeling, and Evaluation
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Water Cooler Small Talk, Ep 8: Should ChatGPT Be Blocked at Work?
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-08-19 |
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Read time: 9 min read
Water cooler small talk is a special kind of small talk, typically observed in officeβ¦
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Can LangExtract Turn Messy Clinical Notes into Structured Data?
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-18 |
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Read time: 7 min read
Turning raw clinical notes into structured entities with LLMs.
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Modular Arithmetic in Data Science
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Category: DATA SCIENCE
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Date: 2025-08-18 |
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Read time: 10 min read
Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reachingβ¦
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Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows
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Category: LARGE LANGUAGE MODELS
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Date: 2025-09-06 |
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Read time: 10 min read
A guide to building modular workflows for structured intelligence
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Maximizing AI/ML Model Performance with PyTorch Compilation
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Category: MACHINE LEARNING
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Date: 2025-08-18 |
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Read time: 31 min read
Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one ofβ¦
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How to Correctly Apply Limits on the Result in DAX (and SQL)
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Category: DATA SCIENCE
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Date: 2025-08-18 |
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Read time: 8 min read
What if the output of a measure mustnβt be above a specific limit? How canβ¦
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How to Create Powerful LLM Applications with Context Engineering
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-18 |
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Read time: 7 min read
Improve your LLM by optimizing its context
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LangGraph 101: Letβs Build A Deep Research Agent
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Category: LARGE LANGUAGE MODELS
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Date: 2025-08-14 |
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Read time: 32 min read
Learn LangGraph fundamentals from Googleβs open-source full-stack implementation
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What Does βFollowing Best Practicesβ Mean in the Age of AI?
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Category: THE VARIABLE
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Date: 2025-08-14 |
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Read time: 3 min read
How data and ML practitioners should navigate a rapidly changing landscape
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βMy biggest lesson was realizing that domain expertise matters more than algorithmic complexity.β
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Category: AUTHOR SPOTLIGHTS
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Date: 2025-08-14 |
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Read time: 8 min read
Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate MLβ¦
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