Develop Your First AI Agent: Deep Q-Learning
Dive into the world of artificial intelligence - build a deep reinforcement learning gym from scratch.- 22359Murphy2025-03-22
Does Bagging Help to Prevent Overfitting in Decision Trees?
Understand why decision trees are highly prone to overfitting and its potential remedies- 21708Murphy2025-03-22
Beam Search: the Most Used Algorithm in Sequence Models
Learn the working principles of the most famous algorithm for text translation and speech recognition.- 22096Murphy2025-03-22
Speculative Sampling – Intuitively and Exhaustively Explained
A drop-in strategy for making language models 3x faster- 28344Murphy2025-03-22
Evaluating RAG Applications with RAGAs
A framework with metrics and LLM-generated data to evaluate the performance of your Retrieval-Augmented Generation pipeline- 21448Murphy2025-03-22
How Much Data Do We Need? Balancing Machine Learning with Security Considerations
For a data scientist, there's no such thing as too much data. But what happens when we start to think about data security as well?- 29943Murphy2025-03-22
Simulating Exoplanet Discoveries with Python
The awesome power of modeling!- 22832Murphy2025-03-22
Solving Autocorrelation Problems in General Linear Model on a Real-World Application
Delving into one of the most common nightmares for data scientists- 27774Murphy2025-03-22
TDS Best of 2023: On ChatGPT and LLMs
Taking a look at some of our most memorable and popular stories from the past year- 30152Murphy2025-03-22
2023 in Review: Recapping the Post-ChatGPT Era and What to Expect for 2024
How the LLMOps landscape has evolved and why we haven't seen many Generative AI applications in the wild yet - but maybe in 2024.- 22485Murphy2025-03-22
Large Language Models and Vector Databases for News Recommendations
Making LLMs into production environments- 26159Murphy2025-03-22
Customer Segmentation: More Than Clustering
A framework to help your customer segmentation be adopted by the business- 22565Murphy2025-03-22
Towards LLM explainability: why did my model produce this output ?
The recent release of larger, better LLMs that showcase new capabilities has been paired with growing concerns over AI safety- 24618Murphy2025-03-22
Benchmarking Rust Compiler Settings with Criterion
Controlling Criterion with Scripts and Environment Variables- 28392Murphy2025-03-22
Nine Rules for SIMD Acceleration of your Rust Code (Part 2)
General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x- 21014Murphy2025-03-22
Creating Dynamic Choropleth Visualizations Using Plotly
Using a simple-to-learn package to create a complex visualization- 29843Murphy2025-03-22
The Unstructured Data Funnel
Why a funnel is the centre of the war between data's heaviest hitters- 22773Murphy2025-03-22
Why Do We Even Have Neural Networks?
Alternatives to Neural Networks: Taylor Series & Fourier Series- 23854Murphy2025-03-22
Intuitive Explanation of Exponential Moving Average
Understand the logic behind the fundamental algorithm used inside the gradient descent- 29578Murphy2025-03-22
SW/HW Co-optimization Strategy for Large Language Models (LLMs)
How to stretch every bit out of your system to run LLMs faster? - best practice- 21544Murphy2025-03-22
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features