Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads
Our weekly selection of must-read Editors' Picks and original features- 28817Murphy2025-03-22
A Proposed Perfect Package Prototype for Python Projects
How to structure your Python package projects to ensure efficiency, effectiveness and future-proofing- 27098Murphy2025-03-22
Should You Join FAANG or a Startup as a Data Scientist?
Lessons from working at Uber + Meta, a growth stage company and a tiny startup- 29712Murphy2025-03-22
PySpark Explained: The explode and collect_list Functions
Two useful functions to nest and un-nest data sets in PySpark- 22171Murphy2025-03-22
Statistically Confirm Your -Comparing Pandas and Polars with 1 Million Rows of Data
Using the Independent samples t-test and Welch's t-test to compare scores in benchmarking.- 27539Murphy2025-03-22
Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting
What you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI report- 26564Murphy2025-03-22
Chart Wars – Stacked Bar Chart vs. Heatmap
The winner is obvious- 22338Murphy2025-03-22
Using Power BI for Planning (Warehouse) with Stock Values
How can we use Power BI to plan for the future using Stock-Measures? Here, I show you a possible approach.- 27923Murphy2025-03-22
How Do Computers Actually Remember?
A Budding Data Scientist's Introduction to Computer Hardware- 23418Murphy2025-03-22
Get started with SQLite3 in Python Creating Tables & Fetching Rows
Learn to use SQLite - The most used DBMS in the world- 28862Murphy2025-03-22
Let's Revisit Case-When in Different Libraries Including the New Player: Pandas
How to create conditional columns with different tools.- 26522Murphy2025-03-22
Creating an Assistant with OpenAI Assistant API and Streamlit
A step-by-step guide- 28502Murphy2025-03-22
How to Find and Solve Valuable Generative AI Use Cases
80% of AI projects fail due to poor use cases or technical knowledge. Gen AI reduced complexity, and now we must pick the right battles.- 29329Murphy2025-03-22
3 Simple Statistical Methods for Outlier Detection
If it works, keep it simple- 24746Murphy2025-03-22
Nailing the Machine Learning Design Interview
Tips and tricks for FAANG design interviews- 27760Murphy2025-03-22
Incorporate an LLM Chatbot into Your Web Application with OpenAI, Python, and Shiny
Step-by-Step Integration of AI Chatbots into Shiny for Python Applications: From API Setup to User Interaction.- 21036Murphy2025-03-22
CLIP, LLaVA, and the Brain
What neuroscience can teach us about the limitations of modern multimodal transformers- 27611Murphy2025-03-22
How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well
Gamify machine learning student projects with Streamlit and Google Sheets- 24268Murphy2025-03-22
Understanding Techniques for Solving GenAI Challenges
Dive into model pre-training, fine-tuning, RAG, prompt engineering, and more!- 27946Murphy2025-03-22
Counts Outlier Detector: Interpretable Outlier Detection
An interpretable outlier detector based on multi-dimensional histograms.- 22068Murphy2025-03-22
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