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...- 24570Murphy2025-03-23
10 Examples to Learn the JSON module of Python
One of the most frequently used file formats- 21747Murphy2025-03-23
Emergent Abilities in AI: Are We Chasing a Myth?
Changing Perspective on Large Language Models emerging properties- 23788Murphy2025-03-23
Rock Paper Scissors: A Quantum Computing Twist
A New Way to Play with Advanced Computing- 28675Murphy2025-03-23
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- 23658Murphy2025-03-23
3 Easy Tips to Optimize Pandas DataFrames
Streamline your data workflow with proven techniques for optimizing Pandas DataFrames- 24833Murphy2025-03-23
How to Iterate Over a Pandas Dataframe
Row-major vs Column-major, Pandas best practices- 23689Murphy2025-03-23
Create Tailor-Made Tourist Maps with Folium
Jazz up your next vacation!- 27482Murphy2025-03-23
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- 26753Murphy2025-03-23
Rust Polars: Unlocking High-Performance Data Analysis – Part 2
Exploring Rust's Polars DataFrames, Aggregation Functions, and Beyond- 22561Murphy2025-03-23
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...- 23241Murphy2025-03-23
Get Temperature Data by Location with Python
Retrieve historical temperature data by latitude and longitude.- 20934Murphy2025-03-23
Deploying Cohere Language Models On Amazon SageMaker
Scale and Host LLMs on AWS- 27976Murphy2025-03-23
Use Frequency More Frequently
A handbook from simple to advanced frequency analysis: exploring a vital tool which is widely underutilized in data science- 29861Murphy2025-03-23
How To Use Hugging Face Agents For NLP Tasks
A step by step tutorial on how to use Transformers tools and agents.- 21365Murphy2025-03-23
Analyze Scientific Publications with E-utilities and Python
How to gather data about scientific literature and discover trends- 27114Murphy2025-03-23
Customizing your Cloud Based Machine Learning Training Environment – Part 2
Additional solutions for increasing your development flexibility- 26212Murphy2025-03-23
Logistic regression: Faceoff
What do log-losses and perfectly separated data have to do with hockey sticks?- 27299Murphy2025-03-23
The Emerging Art of Prompt Engineering
Our weekly selection of must-read Editors' Picks and original features- 20848Murphy2025-03-23
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...- 24830Murphy2025-03-23
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.