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
39.3K subscribers
Machine Learning
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Manage Environment Variables with Pydantic
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Category: PROGRAMMING
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Date: 2025-02-12 |
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Read time: 5 min read
Introduction Developers work on applications that are supposed to be deployed on some server in…
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Machine Learning
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Pandas Can’t Handle This: How ArcticDB Powers Massive Datasets
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Category: DATA SCIENCE
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Date: 2025-02-12 |
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Read time: 14 min read
Python has grown to dominate data science, and its package Pandas has become the go-to…
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Branching Out: 4 Git Workflows for Collaborating on ML
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Category: MACHINE LEARNING
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Date: 2025-02-12 |
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Read time: 11 min read
It’s been more than 15 years since I finished my master’s degree, but I’m still…
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Build a Decision Tree in Polars from Scratch
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Category: DATA SCIENCE
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Date: 2025-02-12 |
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Read time: 21 min read
Decision tree algorithms have always fascinated me. They are easy to implement and achieve good…
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Virtualization & Containers for Data Science Newbies
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Category: DATA SCIENCE
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Date: 2025-02-11 |
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Read time: 12 min read
Virtualization makes it possible to run multiple virtual machines (VMs) on a single piece of…
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4-Dimensional Data Visualization: Time in Bubble Charts
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Category: DATA SCIENCE
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Date: 2025-02-11 |
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Read time: 9 min read
Bubble charts elegantly compress large amounts of information into a single visualization, with bubble size…
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Machine Learning
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Understanding Model Calibration: A Gentle Introduction & Visual Exploration
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Category: MACHINE LEARNING
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Date: 2025-02-11 |
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Read time: 16 min read
How Reliable Are Your Predictions? About To be considered reliable, a model must be calibrated…
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Machine Learning
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Data vs. Business Strategy
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Category: DATA SCIENCE
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Date: 2025-02-11 |
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Read time: 12 min read
There seems to be a consensus that leveraging data, analytics, and AI to create a…
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Polars vs. Pandas — An Independent Speed Comparison
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Category: DATA ENGINEERING
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Date: 2025-02-11 |
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Read time: 13 min read
Overview Introduction — Purpose and Reasons Speed is important when dealing with large amounts of…
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Six Ways to Control Style and Content in Diffusion Models
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Category: MACHINE LEARNING
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Date: 2025-02-10 |
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Read time: 9 min read
Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, diffusion models have showcased stunning…
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Machine Learning
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The Gamma Hurdle Distribution
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Category: DATA SCIENCE
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Date: 2025-02-07 |
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Read time: 11 min read
Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where…
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Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them)
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Category: DATA SCIENCE
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Date: 2025-02-07 |
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Read time: 7 min read
Accurate impact estimations can make or break your business case. Yet, despite its importance, most…
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I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms
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Category: MACHINE LEARNING
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Date: 2025-02-07 |
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Read time: 20 min read
Recently, DeepSeek announced their latest model, R1, and article after article came out praising its…
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Synthetic Data Generation with LLMs
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Category: LARGE LANGUAGE MODELS
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Date: 2025-02-07 |
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Read time: 9 min read
Popularity of RAG Over the past two years while working with financial firms, I’ve observed…
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The Method of Moments Estimator for Gaussian Mixture Models
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Category: DATA SCIENCE
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Date: 2025-02-07 |
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Read time: 8 min read
Audio processing is one of the most important application domains of digital signal processing (DSP)…
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A Comprehensive Guide to LLM Temperature
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Category: LARGE LANGUAGE MODELS
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Date: 2025-02-07 |
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Read time: 8 min read
While building my own LLM-based application, I found many prompt engineering guides, but few equivalent…
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Machine Learning
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How to Create Network Graph Visualizations in Microsoft PowerBI
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Category: DATA VISUALIZATION
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Date: 2025-02-07 |
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Read time: 6 min read
Microsoft PowerBI is a one of the most popular business intelligence (BI) tools, and while…
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Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics
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Category: MACHINE LEARNING
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Date: 2025-02-06 |
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Read time: 13 min read
Metric collection is an essential part of every machine learning project, enabling us to track…
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Introduction to Minimum Cost Flow Optimization in Python
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Category: DATA SCIENCE
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Date: 2025-02-06 |
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Read time: 21 min read
Minimum cost flow optimization minimizes the cost of moving flow through a network of nodes…
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A Visual Guide to How Diffusion Models Work
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Category: MACHINE LEARNING
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Date: 2025-02-06 |
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Read time: 26 min read
This article is aimed at those who want to understand exactly how diffusion models work,…
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Ridge Regression: A Robust Path to Reliable Predictions
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Category: DATA SCIENCE
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Date: 2025-01-30 |
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Read time: 11 min read
Learn how regularization reduces overfitting and improves model stability in linear regression.
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