Introduction to statistical sampling and resampling
Statistical sampling is a fundamental block of statistics that allows us to obtain information on the population of interest efficiently...- 24612Murphy2025-03-23
10 Examples to Learn the JSON module of Python
One of the most frequently used file formats- 21789Murphy2025-03-23
Emergent Abilities in AI: Are We Chasing a Myth?
Changing Perspective on Large Language Models emerging properties- 23830Murphy2025-03-23
Rock Paper Scissors: A Quantum Computing Twist
A New Way to Play with Advanced Computing- 28717Murphy2025-03-23
Why You Should Consider Using Fortran As A Data Scientist
An exploration of the benefits that Fortran can bring to Data Science and Machine Learning- 23701Murphy2025-03-23
3 Easy Tips to Optimize Pandas DataFrames
Streamline your data workflow with proven techniques for optimizing Pandas DataFrames- 24875Murphy2025-03-23
How to Iterate Over a Pandas Dataframe
Row-major vs Column-major, Pandas best practices- 23731Murphy2025-03-23
Create Tailor-Made Tourist Maps with Folium
Jazz up your next vacation!- 27525Murphy2025-03-23
Cooking with Snowflake
Snowflake optimisation The Snowflake community is rife with information dumps on how to optimize expensive queries. We know because we combed through a ton of them. What we present here are three tactical ways in which we’ve done this at Toplyne. To- 26795Murphy2025-03-23
Rust Polars: Unlocking High-Performance Data Analysis – Part 2
Exploring Rust's Polars DataFrames, Aggregation Functions, and Beyond- 22603Murphy2025-03-23
Replace Manual Normalization with Batch Normalization in Vision AI Models
A neat trick to avoid expensive manual pixel normalization for Vision (Image/Video) AI models is to stick a Batch normalization layer as...- 23284Murphy2025-03-23
Get Temperature Data by Location with Python
Retrieve historical temperature data by latitude and longitude.- 20977Murphy2025-03-23
Deploying Cohere Language Models On Amazon SageMaker
Scale and Host LLMs on AWS- 28019Murphy2025-03-23
Use Frequency More Frequently
A handbook from simple to advanced frequency analysis: exploring a vital tool which is widely underutilized in data science- 29903Murphy2025-03-23
How To Use Hugging Face Agents For NLP Tasks
A step by step tutorial on how to use Transformers tools and agents.- 21407Murphy2025-03-23
Analyze Scientific Publications with E-utilities and Python
How to gather data about scientific literature and discover trends- 27158Murphy2025-03-23
Customizing your Cloud Based Machine Learning Training Environment – Part 2
Additional solutions for increasing your development flexibility- 26255Murphy2025-03-23
Logistic regression: Faceoff
What do log-losses and perfectly separated data have to do with hockey sticks?- 27342Murphy2025-03-23
The Emerging Art of Prompt Engineering
Our weekly selection of must-read Editors' Picks and original features- 20891Murphy2025-03-23
The Power of Bayesian Causal Inference: A Comparative Analysis of Libraries to Reveal Hidden…
Reveal the hidden causal variables in your data set by using the best-suited Bayesian causal inference library: a comparison with hands-on...- 24873Murphy2025-03-23
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
