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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How to Negotiate Your Salary as a Data Scientist
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Category: CAREER ADVICE
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Date: 2024-10-27 |
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Read time: 7 min read
And how much I made my first year
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The AI Productivity Paradox: Why Arenβt More Workers Using ChatGPT?
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Category: PRODUCT MANAGEMENT
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Date: 2024-10-27 |
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Read time: 7 min read
The Real Barrier Isnβt Technical Skills β Itβs Time to Think
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Transforming Data Quality: Automating SQL Testing for Faster, Smarter Analytics
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Category: SQL
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Date: 2024-10-26 |
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Read time: 13 min read
How to test the quality of SQL and resultant dataset against the business question toβ¦
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C Programming Using Claudeβs New Computer Use Model
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Category: DATA SCIENCE
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Date: 2024-10-25 |
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Read time: 10 min read
How well can Sonnet write and run code on your behalf?
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Neural Networks for Flexible Multivariate Forecasting
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Category: DATA SCIENCE
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Date: 2024-10-25 |
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Read time: 16 min read
An easy step-by-step guide to getting started with Neural Networks for Time Series Forecasting
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The Curse of Conway and the Data Space
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Category: DATA ENGINEERING
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Date: 2024-10-25 |
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Read time: 16 min read
How modern trends can be traced back to Conwayβs Law
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AI Agent Workflows: A Complete Guide on Whether to Build With LangGraph or LangChain
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-25 |
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Read time: 12 min read
LangChain and LangGraph β A deep dive on key building blocks, how they handle coreβ¦
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Techniques for Chat Data Analytics with Python
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Category: DATA SCIENCE
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Date: 2024-10-25 |
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Read time: 9 min read
Part I: Communication Density Analysis
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Multilayer Perceptron, Explained: A Visual Guide with Mini 2D Dataset
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Category: MACHINE LEARNING
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Date: 2024-10-25 |
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Read time: 14 min read
Dissecting the math (with visuals) of a tiny neural network
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Claudeβs Computer Use β Intuitively and Exhaustively Explained
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-25 |
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Read time: 14 min read
How Anthropic made AI that can control your computer
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4 Years of Data Science in 8 Minutes
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-24 |
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Read time: 9 min read
What I have learned in my 4+ year journey of studying data science
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Build and Deploy a Multi-File, Multi-Format RAG App to the Web
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Category: DATA SCIENCE
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Date: 2024-10-24 |
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Read time: 13 min read
Part 1 β Developing the code using Python, Gradio, GROQ & LlamaIndex
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From AI Canvas to MLOps Stack Canvas: Are They Essential?
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Category: MACHINE LEARNING
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Date: 2024-10-24 |
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Read time: 17 min read
The AI, ML and MLOps stack canvases, explained with examples
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AI in Practice: How to Choose and Deploy the Right Strategy
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-10-24 |
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Read time: 4 min read
Our weekly selection of must-read Editorsβ Picks and original features
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Automatic Vectorization in JAX
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Category: DEEP LEARNING
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Date: 2024-10-24 |
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Read time: 9 min read
Let the loops fly away!
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Generating Consistent Imagery with Gemini
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Category: LLM APPLICATIONS
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Date: 2025-09-23 |
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Read time: 19 min read
A practical guide to building a prompt-based generation pipeline for your image library
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The Art of Asking Good Questions
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Category: DATA SCIENCE
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Date: 2025-09-23 |
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Read time: 7 min read
As a data scientist, are you driving product decisions? Or just supporting them? The rightβ¦
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Generative AI Myths, Busted: An Engineersβs Quick Guide
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-09-23 |
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Read time: 11 min read
A super simple and quick guide to how generative AI works, the myths around it,β¦
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Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them)
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Category: DATA SCIENCE
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Date: 2025-09-23 |
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Read time: 22 min read
Are βquasiβ geo-lift experiments the missing piece for your marketing science function?
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Understanding K-Fold Target Encoding to Handle High Cardinality
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Category: DATA ENGINEERING
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Date: 2024-10-26 |
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Read time: 7 min read
Balancing complexity and performance: An in-depth look at K-fold target encoding
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