Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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πŸ“Œ Bad Assumptions – The Downfall of Even Experienced Data Scientists

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-16 | ⏱️ Read time: 11 min read

Data can be deceptive, so be on your toes!
πŸ“Œ This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-10-07 | ⏱️ Read time: 10 min read

What took GPT-4o 2 hours to solve, Sonnet 4.5 does in 5 seconds
πŸ“Œ How to Perform Effective Agentic Context Engineering

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-10-07 | ⏱️ Read time: 14 min read

Learn how to optimize the context of your agents, for powerful agentic performance
πŸ“Œ How to Easily Validate Your Data with Pandera

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-14 | ⏱️ Read time: 6 min read

Learn how to build a simple data model that validates your data through type hints
πŸ“Œ UniFliXsg: AI-Powered Undergraduate Program Recommendations for Singapore Universities

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-08-14 | ⏱️ Read time: 8 min read

How could AI suggest your majors?
πŸ“Œ From insights to impact: leveraging data science to maximize customer value

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 11 min read

Uplift modeling: how causal machine learning transforms customer relationships and revenue
πŸ“Œ From Data-Informed to Data-Driven Decisions: An Introduction to Tradespace Exploration

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 23 min read

Going beyond Exploratory Data Analysis to find the needle in the haystack
πŸ“Œ Paper Walkthrough: Vision Transformer (ViT)

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 20 min read

Exploring Vision Transformer (ViT) through PyTorch Implementation from Scratch.
πŸ“Œ Four Visualisation Libraries That Seamlessly Integrate With Pandas Dataframe

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 5 min read

Make use of Pandas plotting backend for the easiest plotting
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πŸ“Œ Avoid Building a Data Platform in 2024

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 16 min read

Why articles about β€˜Building a Data Platform’ are mostly misleading
πŸ“Œ Unleashing the Power of Triton: Mastering GPU Kernel Optimization in Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-13 | ⏱️ Read time: 11 min read

Accelerating AI/ML Model Training with Custom Operators – Part 2
πŸ“Œ What to Study if you Want to Master LLMs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 6 min read

What foundational concepts should you study if you want to understand Large Language Models?
πŸ“Œ Stars of the 2024 Paris Olympics

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 8 min read

How to use Wikipedia data to visualize the popularity of top athletes and Olympic sports
πŸ“Œ My Honest Advice for Someone Who Wants to Become a Data Scientist

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 7 min read

What I wish someone would tell me before studying data science
πŸ“Œ LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 20 min read

This article shows how to extract desired or key information from semi-structured or unstructured information…
πŸ“Œ New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 7 min read

Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…
πŸ“Œ The Poisson Bootstrap

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 10 min read

Bootstrapping over large datasets
πŸ“Œ Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 18 min read

Breaking the problem solves half of it. Chaining them makes it even better.
πŸ“Œ AI Agents – From Concepts to Practical Implementation in Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 12 min read

This will change the way you think about AI and its capabilities
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πŸ“Œ How to practice data analyst interviews with AI

πŸ—‚ Category:

πŸ•’ Date: 2024-08-12 | ⏱️ Read time: 8 min read

Using LLMs to generate synthetic data and code