Machine Learning
@DataScienceM
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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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Introduction to Minimum Cost Flow Optimization in Python
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Category: DATA SCIENCE
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Date: 2025-02-06 |
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Read time: 21 min read
Minimum cost flow optimization minimizes the cost of moving flow through a network of nodesβ¦
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A Visual Guide to How Diffusion Models Work
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Category: MACHINE LEARNING
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Date: 2025-02-06 |
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Read time: 26 min read
This article is aimed at those who want to understand exactly how diffusion models work,β¦
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Ridge Regression: A Robust Path to Reliable Predictions
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Category: DATA SCIENCE
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Date: 2025-01-30 |
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Read time: 11 min read
Learn how regularization reduces overfitting and improves model stability in linear regression.
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Bite-Size Data Science: Falling for the Gamblerβs Fallacy
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Category: DATA SCIENCE
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Date: 2025-01-30 |
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Read time: 12 min read
Where the gamblerβs fallacy shows up in data science and what to do about it
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AI Ethics for the Everyday User β Why Should You Care?
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-29 |
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Read time: 15 min read
A beginnerβs guide to understanding the importance of ethics in artificial intelligence
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NLP Illustrated, Part 3: Word2Vec
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Category: DATA SCIENCE
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Date: 2025-01-29 |
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Read time: 13 min read
An exhaustive and illustrated guide to Word2Vec with code!
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Prompting Vision Language Models
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Category: LARGE LANGUAGE MODELS
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Date: 2025-01-29 |
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Read time: 21 min read
Exploring techniques to prompt VLMs
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Exploring DeepSeekβs R1 Training Process
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Category:
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Date: 2025-01-29 |
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Read time: 11 min read
Open-Source Intelligence on Par with Proprietary Models
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How GenAI Tools Have Changed My Work as a Data Scientist
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-28 |
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Read time: 11 min read
An overview of the 4 use cases and 6 GenAI tools I use
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How to do Date calculations in DAX
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Category:
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Date: 2025-01-28 |
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Read time: 6 min read
Moving back and forth in time is a common task for Time Intelligence in DAX.β¦
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Battle of the Ducks
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Category: DATA ENGINEERING
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Date: 2025-01-28 |
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Read time: 13 min read
DuckDB vs Fireducks: the ultimate throwdown
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The Three Phases of Learning Machine Learning
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Category: DATA SCIENCE
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Date: 2025-01-28 |
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Read time: 7 min read
Part One: The beginner phase
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Nine Pico PIO Wats with MicroPython (Part 2)
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Category: PROGRAMMING
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Date: 2025-01-28 |
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Read time: 16 min read
Raspberry Pi programmable IO pitfalls illustrated with a musical example
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Basics of Probability Notations
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Category: DATA SCIENCE
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Date: 2025-01-27 |
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Read time: 12 min read
Union, Intersection, Independence, Disjoint, Complement: Advanced Probability for Data Science Series (1)
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How to Implement Guardrails for Your AI Agents with CrewAI
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-27 |
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Read time: 9 min read
LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application.
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Water Cooler Small Talk, Ep 7: Anscombeβs Quartet and the Datasaurus
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Category: DATA SCIENCE
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Date: 2025-01-27 |
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Read time: 10 min read
Why descriptive statistics arenβt enough and plotting your data is always essential
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Small Training Dataset? You Need SetFit
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Category: DATA SCIENCE
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Date: 2025-01-27 |
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Read time: 9 min read
The enterprise-friendly way to train NLP classifiers with Python in 2025
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Beyond Causal Language Modeling
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-01-27 |
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Read time: 7 min read
A deep dive into βNot All Tokens Are What You Need for Pretrainingβ
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Optimising Budgets With Marketing Mix Models In Python
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Category: DATA SCIENCE
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Date: 2025-01-26 |
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Read time: 10 min read
Part 3 of a hands-on guide to help you master MMM in pymc
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How Cheap Mortgages Transformed Polandβs Real Estate Market
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Category: DATA SCIENCE
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Date: 2025-01-25 |
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Read time: 19 min read
Insights from a synthetic control group
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Choosing Classification Model Evaluation Criteria
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Category: MACHINE LEARNING
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Date: 2025-01-25 |
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Read time: 9 min read
Is Recall / Precision better than Sensitivity / Specificity?
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