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
39.2K subscribers
Machine Learning
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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
Letβs dive into the most important libraries in R and Python to visualise data andβ¦
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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 Researcherβs 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 βpublish or perishβ into βlearn, write, and shareβ
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Letβs 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 theβ¦
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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 Iβd 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 todayβs landscape
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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 itβs 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-stepβ¦
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Iβm Doing the Advent of Code 2024 in Python β 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
Letβs see how many stars weβll collect.
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Bayesβ 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 Bayesβ 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 canβt fully replaceβ¦
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CV VideoPlayer β Once and For All
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Category: MACHINE LEARNING
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Date: 2024-12-12 |
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Read time: 6 min read
A Python video player package made for computer vision research
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Why βAI Canβt Reasonβ Is a Bias
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-12-12 |
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Read time: 11 min read
We humans are proud creatures
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SQLite in Production: Dreams Becoming Reality
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Category:
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Date: 2024-12-12 |
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Read time: 12 min read
On the virtues of radical simplicity
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The Economics of Artificial Intelligence, Causal Tools, ChatGPTβs Impact, and Other Holiday Reads
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Category: CHATGPT
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Date: 2024-12-12 |
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Read time: 5 min read
Our weekly selection of must-read Editorsβ Picks and original features
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Data Valuation β A Concise Overview
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Category: DATA SCIENCE
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Date: 2024-12-12 |
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Read time: 11 min read
ChatGPT and similar LLMs were trained on insane amounts of data. OpenAI and Co. scrapedβ¦
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Extracting Structured Vehicle Data from Images
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Category:
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Date: 2025-01-27 |
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Read time: 10 min read
Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,β¦
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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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Data-Driven Decision Making with Sentiment Analysis in R
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Category: NATURAL LANGUAGE PROCESSING
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Date: 2025-01-21 |
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Read time: 15 min read
Leveraging the Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Enhance Business Strategy
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