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
38.9K subscribers
Machine Learning
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Showcasing Your Work on HuggingFace Spaces
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Category: PRODUCTIVITY
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Date: 2025-09-05 |
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Read time: 9 min read
Building an app is exciting β but sharing it is where the real value kicksβ¦
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AI Operations Under the Hood: Challenges and Best Practices
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Category: LLM APPLICATIONS
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Date: 2025-09-05 |
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Read time: 18 min read
Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,β¦
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Zero-Inflated Data: A Comparison of Regression Models
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Category: DATA SCIENCE
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Date: 2025-09-05 |
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Read time: 13 min read
How to detect it and which model to choose.
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Tool Masking: The Layer MCP Forgot
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Category: AGENTIC AI
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Date: 2025-09-05 |
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Read time: 16 min read
Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens andβ¦
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Should We Use LLMs As If They Were Swiss Knives?
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-09-04 |
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Read time: 9 min read
A logic game performance comparison between popular LLMs and a custom-made algorithm
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A Visual Guide to Tuning Random Forest Hyperparameters
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Category: DATA SCIENCE
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Date: 2025-09-04 |
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Read time: 8 min read
How hyperparameter tuning visually changes random forests
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MobileNetV1 Paper Walkthrough: The Tiny Giant
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Category: DEEP LEARNING
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Date: 2025-09-04 |
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Read time: 26 min read
Understanding and implementing MobileNetV1 from scratch with PyTorch
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Using LangGraph and MCP Servers to Create My Own Voice Assistant
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Category: MACHINE LEARNING
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Date: 2025-09-04 |
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Read time: 30 min read
Built over 14 days, all locally run, no API keys, cloud services, or subscription fees.
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Boosting Your Anomaly Detection With LLMs
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Category: LARGE LANGUAGE MODELS
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Date: 2025-09-04 |
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Read time: 17 min read
The 7 emerging application patterns you should know
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The Programming Skills You Need for Todayβs Data Roles
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Category: THE VARIABLE
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Date: 2025-09-04 |
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Read time: 3 min read
How to stand out in a crowded field
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Useful Python Libraries You Might Not Have Heard Of:ββFreezegun
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Category: PROGRAMMING
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Date: 2025-09-03 |
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Read time: 12 min read
Bring time to a standstill in your Python tests
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AI FOMO, Shadow AI, and Other Business Problems
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-09-03 |
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Read time: 6 min read
Whatβs the state of AI in business these days, and how much does it costβ¦
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Hands On Time Series Modeling of Rare Events, with Python
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Category: DATA SCIENCE
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Date: 2025-09-03 |
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Read time: 11 min read
This is how to model rare events occurrences in a time series in a fewβ¦
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Stochastic Differential Equations and Temperature β NASA Climate Data pt. 2
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Category: MATH
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Date: 2025-09-03 |
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Read time: 14 min read
The Ornstein-Uhlenbeck process in Python
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What Being a Data Scientist at a Startup Really Looks Like
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Category: DATA SCIENCE
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Date: 2025-09-03 |
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Read time: 9 min read
What I learned about growth, visibility, and chaos over the past five years
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A Deep Dive into RabbitMQ & Pythonβs Celery: How to Optimise Your Queues
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Category: PROGRAMMING
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Date: 2025-09-02 |
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Read time: 12 min read
Key lessons Iβve learned running RabbitMQ + Celery in production
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Implementing the Caesar Cipher in Python
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Category: PROGRAMMING
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Date: 2025-09-02 |
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Read time: 7 min read
Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Namedβ¦
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How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques
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Category: CONVERSATIONAL AI
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Date: 2025-09-02 |
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Read time: 9 min read
Optimize your AI search with RAG, contextual retrieval and evaluations
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What is Universality in LLMs? How to Find Universal Neurons
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Category: LARGE LANGUAGE MODELS
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Date: 2025-09-02 |
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Read time: 5 min read
How independently trained transformers form same the neurons
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3 Greedy Algorithms for Decision Trees, Explained with Examples
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Category: MACHINE LEARNING
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Date: 2025-09-02 |
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Read time: 12 min read
Learn the inner workings of decision trees
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Writing Is Thinking
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Category: AUTHOR SPOTLIGHTS
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Date: 2025-09-02 |
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Read time: 5 min read
Egor Howell on breaking into ML without a CS degree, surviving 80+ interviews, and whatβ¦
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