Visual Guides to understand the basics of Large Language Models
A compilation of tools and articles that intuitively break down the complicated AI concepts- 26666Murphy2025-03-22
Boosting Algorithms in Machine Learning, Part I: AdaBoost
Understanding the logic behind AdaBoost and implementing it using Python- 28703Murphy2025-03-22
Learning Discrete Data with Harmoniums: Part I, The Essentials
From the Archives: Generative AI in the '00s- 23785Murphy2025-03-22
Gaussian Processes from Scratch
Gain a deeper understanding of Gaussian processes by implementing them with only NumPy- 27808Murphy2025-03-22
Demystifying Graph Neural Networks
Uncovering the power and applications of a rising deep learning Algorithm- 24006Murphy2025-03-22
Top 30 GitHub Python Projects At The Beginning Of 2024
Repositories with the most stars!- 23651Murphy2025-03-22
Ablation Testing Neural Networks: The Compensatory Masquerade
Disruptively testing parts of neural networks and other ML architectures to make them more robust (Image generated by author using DALL-E). Interesting what AI thinks of it’s own brain. In a similar fashion to how a person’s intellect can be s- 26124Murphy2025-03-22
TE2Rules: Explaining "Why did my model say that?"
Taking model explainability beyond images and text- 24107Murphy2025-03-22
Machine Learning in Business: 5 things a Data Science course won't teach you
The author shares some important aspects of Applied Machine Learning that can be overlooked in formal Data Science education.- 26676Murphy2025-03-22
Why Are Advanced RAG Methods Crucial for the Future of AI?
Mastering Advanced RAG: Unlocking the Future of AI-Driven Applications- 21395Murphy2025-03-22
TFT: an Interpretable Transformer
A deep exploration of TFT, its implementation using Darts and how to interpret a Transformer- 25043Murphy2025-03-22
Algorithmic Alchemy with The Fast Fourier Transform
The Ultimate Guide to Mechanics of the FFT Algorithm with Applications in Signal Processing Photo by Stephen Niemeier: https://www.pexels.com/photo/black-and-silver-mixing-board-63703/ Contents Introduction What is the Fourier Transform? 2.1 Time Domain 2- 25643Murphy2025-03-22
Keep Track of Your Backtests with DVC's Experiment Tracking
Part 4 of the tutorial on how to use DVC for experiment tracking, this time, with time series forecasting- 23022Murphy2025-03-22
Streamline Data Pipelines: How to Use WhyLogs with PySpark for Data Profiling and Validation
Learn to use whylogs with PySpark for data profiling and validation- 21051Murphy2025-03-22
Solving Reasoning Problems with LLMs in 2023
It's the beginning of 2024 and ChatGPT just celebrated its one-year birthday. One year is a super long time for the community of large...- 24942Murphy2025-03-22
Merge Large Language Models with mergekit
Create your own models easily, no GPU required!- 23054Murphy2025-03-22
Does Using an LLM During the Hiring Process Make You a Fraud as a Candidate?
Employers, ditch the AI detection tools and ask one important question instead.- 25184Murphy2025-03-22
Python Water Quality – Baseline Classification Model
Assess feature importance when estimating water quality using a reference baseline model- 25767Murphy2025-03-22
I Tried Data Analysis ChatGPT Plugin: Every Analyst's Dream or a Nightmare in Disguise
ChatGPT Plugin Review - I did this experiment so you don't have to. Spoiler Alert - my brain is about to explode...- 20575Murphy2025-03-22
How I Became A Data Scientist – No CS Degree, No Bootcamp
How I went from despising coding to being a fully fledged Data Scientist- 29012Murphy2025-03-22
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