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
39.1K subscribers
Machine Learning
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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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Untangling AI systems
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Category: MACHINE LEARNING
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Date: 2024-10-26 |
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Read time: 16 min read
How physics can help us understand neural networks
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Learnings from My First Year of Being a Data Analyst
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Category: DATA SCIENCE
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Date: 2024-10-26 |
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Read time: 7 min read
Insights on dealing with statistics, interacting with people, and maximizing productivity at the workplace
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Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models
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Category:
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Date: 2024-10-26 |
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Read time: 15 min read
No Wild West for AI: A tour of the safety components that tame T2I models
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Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset
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Category: DATA SCIENCE
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Date: 2024-10-26 |
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Read time: 11 min read
Artificially generating and deleting data for the greater good
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Awesome Plotly with Code Series (Part 2): Colouring Bar Charts
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Category: DATA SCIENCE
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Date: 2024-10-26 |
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Read time: 10 min read
Donβt create a rainbow coloured bar chart. But donβt make your bar charts boring either
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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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Are you Aware of the Potential of Your Data Expertise in Driving Business Profitability?
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Category: ANALYTICS
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Date: 2024-10-24 |
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Read time: 12 min read
A reflection of a supply chain data scientist who randomly discovered the power of dataβ¦
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How AlphaFold 3 Is Like DALLE 2 and Other Learnings
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Category:
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Date: 2024-10-24 |
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Read time: 7 min read
Understanding AI applications in bio for machine learning engineers
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Time Series β From Analyzing the Past to Predicting the Future
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Category: DATA SCIENCE
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Date: 2024-10-23 |
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Read time: 22 min read
How to learn from the past with time series.
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ML Metamorphosis: Chaining ML Models for Optimized Results
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Category: DATA SCIENCE
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Date: 2024-10-23 |
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Read time: 8 min read
The universal principle of knowledge distillation, model compression, and rule extraction
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