The Taylor Series, Explained
A method for function approximation- 21194Murphy2025-03-23
Linear Programming Optimization: The Simplex Method
Part 3: The algorithm under the hood- 25870Murphy2025-03-23
Automate Video Chaptering with LLMs and TF-IDF
Transform raw transcripts into well-structured documents- 28157Murphy2025-03-23
Is Your User Base Growing or Shrinking?
How tracking customer segmentation and KPIs reveals the true health of your business- 26310Murphy2025-03-23
Forecasting Germany's Solar Energy Production: A Practical Approach with Prophet
Analysis and implementation with Python- 20623Murphy2025-03-23
Market Basket Analysis Using High Utility Itemset Mining
Finding high-value patterns in transactions- 30008Murphy2025-03-23
A Step-by-Step Guide to Build a Graph Learning System for a Movie Recommender
Built with PyTorch Geometric and using MovieLens DataSet- 22471Murphy2025-03-23
Deploying your Llama Model via vLLM using SageMaker Endpoint
Leveraging AWS's MLOps platform to serve your LLM models- 24527Murphy2025-03-23
How to Build a Competency Framework for Data Science Teams
For those leading Data Science teams, here are 6 essential competencies that separate juniors from seniors in a robust and objective way.- 20577Murphy2025-03-23
The "Who Does What" Guide To Enterprise Data Quality
One answer and many best practices for how larger organizations can operationalizing data quality programs for modern data platforms- 28731Murphy2025-03-23
Water Cooler Small Talk: Gambler's Fallacy and Ruin
An intuitive and thorough explanation of gambling, luck, and risk to keep you from looking foolish- 24683Murphy2025-03-23
Introducing NumPy, Part 2: Indexing Arrays
Slicing and dicing like a pro- 29327Murphy2025-03-23
The Data All Around Us: From Sports to Household Management
Our weekly selection of must-read Editors' Picks and original features- 22923Murphy2025-03-23
The Who, What, Why of AI
Success starts with the questions no one else asks- 27076Murphy2025-03-23
How to Implement State-of-the-Art Masked AutoEncoders (MAE)
A Step-by-Step Guide to Building MAE with Vision Transformers- 23229Murphy2025-03-23
Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning
An overview of the most prominent methods in imitation learning while testing on a grid environment- 29435Murphy2025-03-23
Can You See the War from Space?
Case study of the Russian-Ukrainian war- 28810Murphy2025-03-23
How the LLM Got Lost in the Network and Discovered Graph Reasoning
Enhancing large language models: A journey through graph reasoning and instruction-tuning- 21807Murphy2025-03-23
Transformer? Diffusion? Transfusion!
A gentle introduction to the latest multi-modal transfusion model- 30012Murphy2025-03-23
Creating Project Environments in Python with VSCode
Learn how to manage different environments for your Python projects- 29588Murphy2025-03-23
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
