Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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πŸ“Œ ITT vs LATE: Estimating Causal Effects with IV in Experiments with Imperfect Compliance

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-09 | ⏱️ Read time: 11 min read

Intuition, step-by-step script, and assumptions needed for the use of IV
πŸ“Œ From Set Transformer to Perceiver Sampler

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 4 min read

On multi-modal LLM Flamingo’s vision encoder
πŸ“Œ A Deeper Dive into Odds Ratios Using Logistic Regression

πŸ—‚ Category: STATISTICS

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 21 min read

A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression…
πŸ“Œ How to Improve Model Quality Without Building Larger Models

πŸ—‚ Category:

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

Going into the Google DeepMind’s β€œScaling LLM Test-Time Compute Optimally can be More Effective than…
πŸ“Œ Make the Switch from Software Engineer to ML Engineer

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 9 min read

7 steps that helped me transition from a software engineer to Machine Learning engineer
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πŸ“Œ TDS Newsletter: To Better Understand AI, Look Under the Hood

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-09-25 | ⏱️ Read time: 3 min read

AI-powered tools tend to generate extreme reactions: on one side we have the β€œIt’s magic!” and…
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πŸ“Œ Still Manually Reviewing All User Interactions For Your AI Solutions?

πŸ—‚ Category: BUSINESS

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 7 min read

Discover how to use cosine similarity to save hours and streamline your AI systems
πŸ“Œ Graph Neural Networks Part 2. Graph Attention Networks vs. GCNs

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 9 min read

A model that pays attention to your graph
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πŸ“Œ Nine Rules for Running Rust in the Browser

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 25 min read

Practical lessons from porting range-set-blaze to WASM
πŸ“Œ Understanding KL Divergence, Entropy, and Related Concepts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 8 min read

Important concepts in information theory, machine learning, and statistics
πŸ“Œ Precisely Compare Geographical Regions with GeoPandas

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 9 min read

Filling maps with area measurements
πŸ“Œ Adding Gradient Backgrounds to Plotly Charts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 5 min read

Using Plotly rectangle shapes to improve data visualisation
πŸ“Œ Pandora’s Cloud Migration: Conquer the 7 β€œBringers of Evil”

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 20 min read

A guide to conquering cloud migration challenges
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πŸ“Œ How to Talk About Data and Analysis Simply

πŸ—‚ Category:

πŸ•’ Date: 2024-10-08 | ⏱️ Read time: 21 min read

So that it is understandable and engaging to (almost) everyone
πŸ“Œ Implementing Sequential Algorithms on TPU

πŸ—‚ Category:

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 13 min read

Accelerating AI/ML Model Training with Custom Operators – Part 3.A
πŸ“Œ Supercharge Your LLM Apps using DSPy and Langfuse

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 14 min read

Build Production Grade LLM Apps with Ease
πŸ“Œ K Nearest Neighbor Regressor, Explained: A Visual Guide with Code Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 11 min read

Finding the neighbors FAST with KD Trees and Ball Trees
πŸ“Œ Scaling RAG from POC to Production

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 8 min read

Common challenges and architectural components to enable scaling
πŸ“Œ Using Linear Equations + LLM to Solve LinkedIn Queens Game

πŸ—‚ Category:

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 11 min read

Prompting GPT to form and solve the linear equations using PuLP
πŸ“Œ AlphaFold 2 Through the Context of BERT

πŸ—‚ Category:

πŸ•’ Date: 2024-10-07 | ⏱️ Read time: 9 min read

Understanding AI applications in bio for machine learning engineers