Leveraging Large Language Models for Business Efficiency
Implementing Large Language Models for Business Improvement: A Step-by-Step Guide- 22561Murphy2025-03-22
One Line of Code to Say Goodbye to Confusing Python Error Messages
Flexible error message enhancement library - PrettyError- 26269Murphy2025-03-22
Towards increased truthfulness in LLM applications
Abstract- 27984Murphy2025-03-22
Pandas Columns: Bracket Indexing (df[‘x']) Versus Dot Syntax (df.x)
Does it matter how you do it? Maybe one is faster than the other?- 28023Murphy2025-03-22
How to Implement ChatGPT with OpenAI API in Python Synchronously and Asynchronously
Learn to use AI to boost the efficiency of your business- 21918Murphy2025-03-22
Building Durable Data Pipelines
Data engineering techniques for robust and sustainable ETL- 21658Murphy2025-03-22
Deploy Long-Running ETL Pipelines to ECS with Fargate
To keep things simple and costs to a minimum- 27032Murphy2025-03-22
How to read OSM data with DuckDB
A deep dive into OpenStreetMap data structure and how to utilize it in a scalable way- 23953Murphy2025-03-22
Master Dispersion Plots in 6 Minutes
Learn graphical text analysis with NLTK- 29001Murphy2025-03-22
Seeing Our Reflection in LLMs
When LLMs give us outputs that reveal flaws in human society, can we choose to listen to what they tell us?- 20719Murphy2025-03-22
Data Dirtiness Score
New method to measure tabular dataset quality- 24657Murphy2025-03-22
Framework for Optimizing Generative AI to Meet Business Needs
The playbook for selecting right optimization strategy guided by clear business objectives to better meet the needs of customers.- 28233Murphy2025-03-22
How to Learn the Math Needed for Data Science
A breakdown of the three fundamental math fields required for data science: statistics, linear algebra and calculus.- 29120Murphy2025-03-22
A Definitive Guide to Using BigQuery Efficiently
Make the most out of your BigQuery usage, burn data rather than money to create real value with some practical techniques.- 20784Murphy2025-03-22
Visualize your RAG Data – Evaluate your Retrieval-Augmented Generation System with Ragas
How to use UMAP dimensionality reduction for Embeddings to show multiple evaluation Questions and their relationships to source documents...- 23066Murphy2025-03-22
Training CausalLM Models Part 1: What Actually Is CausalLM?
The first part of a practical guide to using HuggingFace's CausalLM class- 24890Murphy2025-03-22
Naive Bayes clearly explained
Solving the iris dataset with a gaussian approach in scikit-learn.- 21217Murphy2025-03-22
TARNet and Dragonnet: Causal Inference Between S- And T-Learners
Learn how to build neural networks for direct causal inference- 28139Murphy2025-03-22
Making Causal Discovery work in real-world business settings
Causal AI, exploring the integration of causal reasoning into machine learning- 28829Murphy2025-03-22
How to Find Yourself in a Digital World
The probabilistic approach to self-locate under uncertainty- 27540Murphy2025-03-22
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
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