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
39.3K subscribers
Machine Learning
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Deep Dive into LlamaIndex Workflow: Event-Driven LLM Architecture
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Category: DATA SCIENCE
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Date: 2024-12-17 |
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Read time: 17 min read
What I think about the progress and shortcomings after practice
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Machine Learning
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Four Signs It’s Time to Leave Your Data Science Job
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Category: CAREER ADVICE
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Date: 2024-12-17 |
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Read time: 7 min read
Four tell-tale signs that you should look for another job
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Machine Learning
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A Case for Bagging and Boosting as Data Scientists’ Best Friends
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-17 |
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Read time: 16 min read
Leveraging wisdom of the crowd in ML models.
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Machine Learning
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Building a Unified Intent Recognition Engine
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-09-16 |
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Read time: 6 min read
How modular design can simplify and scale intent classification in enterprise AI systems
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Machine Learning
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Using Python to Build a Calculator
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Category: PROGRAMMING
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Date: 2025-09-16 |
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Read time: 5 min read
A beginner-friendly Python project to understand conditional statements, loops and recursive functions
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Machine Learning
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My Experiments with NotebookLM for Teaching
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Category: LLM APPLICATIONS
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Date: 2025-09-16 |
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Read time: 8 min read
Exploring NotebookLM as a teaching companion
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Machine Learning
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The Good, the Bad, and the Ugly: Memory for a Neural Network
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-17 |
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Read time: 13 min read
Memory can play tricks, to learn best it is not always good to memorize
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Machine Learning
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USGS DEM Files: How to Load, Merge, and Crop with Python
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Category:
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Date: 2024-12-17 |
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Read time: 12 min read
A quick guide to prepping digital elevation data
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Structured LLM Output Using Ollama
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-17 |
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Read time: 11 min read
Control your model responses effectively
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The Essential Guide to R and Python Libraries for Data Visualization
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Category: DATA SCIENCE
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Date: 2024-12-16 |
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Read time: 19 min read
Let’s dive into the most important libraries in R and Python to visualise data and…
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Machine Learning
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Credit Card Fraud Detection with Different Sampling Techniques
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Category: DATA SCIENCE
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Date: 2024-12-15 |
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Read time: 10 min read
How to deal with imbalanced data
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A Design Researcher’s Guide to Publishing
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Category: DESIGN
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Date: 2024-12-15 |
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Read time: 10 min read
Turn ‘publish or perish’ into ‘learn, write, and share’
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Let’s Learn a Little About Computer Vision via Sudoku
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Category:
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Date: 2024-12-14 |
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Read time: 9 min read
Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the…
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Machine Learning
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Ranking Basics: Pointwise, Pairwise, Listwise
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Category: DATA SCIENCE
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Date: 2024-12-14 |
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Read time: 8 min read
Because thy neighbour matters
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Agentic AI: Building Autonomous Systems from Scratch
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-13 |
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Read time: 16 min read
A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI
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How I’d Learn AI in 2025 (If I Could Start Over)
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Category: MACHINE LEARNING
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Date: 2024-12-13 |
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Read time: 7 min read
A 5-step roadmap for today’s landscape
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Machine Learning
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Efficient Large Dimensional Self-Organising Maps with PyTorch
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-13 |
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Read time: 6 min read
Because it’s fun to self-organise
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Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter
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Category:
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Date: 2024-12-13 |
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Read time: 9 min read
Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step…
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Machine Learning
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I’m Doing the Advent of Code 2024 in Python – Day 3
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Category: DATA SCIENCE
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Date: 2024-12-13 |
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Read time: 5 min read
Let’s see how many stars we’ll collect.
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Bayes’ Theorem: Understanding Business Outcomes with Evidence
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Category: DATA SCIENCE
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Date: 2024-12-12 |
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Read time: 11 min read
A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)
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Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-12 |
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Read time: 7 min read
In this article we will explore why 128K tokens and more models can’t fully replace…
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Explore Data Science
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