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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πŸ“Œ Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part 2

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-25 | ⏱️ Read time: 17 min read

Deploying a FastAPI + PostgreSQL recommender system as a web application on Render
πŸ“Œ Building Video Game Recommender Systems with FastAPI, PostgreSQL, and Render: Part 1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-25 | ⏱️ Read time: 24 min read

Designing a video game recommendations service with Steams API
πŸ“Œ My Freelance Experience as a Geo Data Scientist on UpWork after 10 Months

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-14 | ⏱️ Read time: 8 min read

How to get clients, reviews and stable income
πŸ“Œ Your eCommerce product performance reports are probably misleading you

πŸ—‚ Category:

πŸ•’ Date: 2024-10-14 | ⏱️ Read time: 7 min read

Why single metrics in isolation fall short and how Weighted Composite Scoring can transform your…
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πŸ“Œ Bringing Structure to Your Data

πŸ—‚ Category:

πŸ•’ Date: 2024-10-14 | ⏱️ Read time: 13 min read

Testing assumptions with path models
πŸ“Œ Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-09-26 | ⏱️ Read time: 12 min read

How retrieval and ensemble methods make fact-checking faster, scalable, and more reliable in a digital…
πŸ“Œ Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-26 | ⏱️ Read time: 23 min read

Why the original MissForest algorithm cannot be directly applied for predictive modeling, and how MissForestPredict…
πŸ“Œ Using Vision Language Models to Process Millions of Documents

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-09-26 | ⏱️ Read time: 10 min read

Learn how to effectively apply vision language models to problem solving
πŸ“Œ The Transparent Human

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 11 min read

How data can reveal the true nature of anyone
πŸ“Œ Cyclic Partition: An Up to 1.5x Faster Partitioning Algorithm

πŸ—‚ Category:

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 27 min read

A sequence partitioning algorithm that does minimal rearrangements of values
πŸ“Œ All About AI Agents: Autonomy, Reasoning, Alignment, and More

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ A Walkthrough of Nvidia’s Latest Multi-Modal LLM Family

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 6 min read

From LLaVA, Flamingo, to NVLM
πŸ“Œ How to Parallelize Copy Activities in Azure Data Factory

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 8 min read

Optimizing Data Transfer for Enterprise Data Lakes
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πŸ“Œ Low-Code Data Connectors and Destinations

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 13 min read

Get started with Airbyte and Cloud Storage
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πŸ“Œ Decision Tree Regressor, Explained: A Visual Guide with Code Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 11 min read

Trimming branches smartly with Cost-Complexity Pruning
πŸ“Œ Forecasting with NHiTs: Uniting Deep Learning + Signal Processing Theory for Superior Accuracy

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 12 min read

A high-performance DL model for all forecasting cases
πŸ“Œ Fine-Tune Llama 3.2 for Powerful Performance on Targeted Tasks

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-10 | ⏱️ Read time: 13 min read

Learn how you can fine-tune Llama3.2, Meta’s most recent Large language model, to achieve powerful…
πŸ“Œ The Most Valuable LLM Dev Skill is Easy to Learn, But Costly to Practice.

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-09 | ⏱️ Read time: 18 min read

Here’s how not to waste your budget on evaluating models and systems.
πŸ“Œ The Easiest Way to Learn and Use Python Today

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-09 | ⏱️ Read time: 9 min read

Google Colab and its integrated Generative AI, a powerful combination
πŸ“Œ Mastering Sample Size Calculations

πŸ—‚ Category:

πŸ•’ Date: 2024-10-09 | ⏱️ Read time: 19 min read

A/B Testing, Reject Inference, and How to Get the Right Sample Size for Your Experiments