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Data Science for Schools: Automate Timetabling with Python and OR-Tools, Part 1
Data Science for Schools: Automate Timetabling with Python and OR-Tools, Part 1
A free, human-in-the-loop way to organise cover for staff absences
Matt Chapman
Jun 11
From Data to Visualization with the OpenAI Assistants API and GPT-4o
From Data to Visualization with the OpenAI Assistants API and GPT-4o
We explore the Code Completion tool from OpenAI’s Assistants API to create visualizations directly from data
Alan Jones
Jun 11
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Simplifying the Python Code for Data Engineering Projects
Simplifying the Python Code for Data Engineering Projects
Python tricks and techniques for data ingestion, validation, processing, and testing: a practical walkthrough
John Leung
Jun 11
Model Interpretability Using Credit Card Fraud Data
Model Interpretability Using Credit Card Fraud Data
Why model interpretability is important
Danila Morozovskii
Jun 11
How to Pivot Tables in SQL
How to Pivot Tables in SQL
A comprehensive guide to creating pivot tables in SQL for enhanced data analysis
Jack Chang
Jun 11
The Math Behind KAN — Kolmogorov-Arnold Networks
The Math Behind KAN — Kolmogorov-Arnold Networks
A new alternative to the classic Multi-Layer Perceptron is out. Why is it more accurate and interpretable? Math and Code Deep Dive.
Cristian Leo
Jun 11
Introduction to Objective Bayesian Hypothesis Testing
Introduction to Objective Bayesian Hypothesis Testing
How to Derive Posterior Probabilities for Hypotheses using Default Bayes Factors
Ryan Burn
Jun 11
A Simple Recipe to Boost the Performance of MLLMs on Your Custom Use Case
A Simple Recipe to Boost the Performance of MLLMs on Your Custom Use Case
An MLLM QLoRA fine-tuning tutorial using the newest pocket-sized Mini-InternVL model
Youness Mansar
Jun 11
Deep Learning Illustrated, Part 4: Recurrent Neural Networks
Deep Learning Illustrated, Part 4: Recurrent Neural Networks
An illustrated and intuitive guide on the inner workings of an RNN and the Softmax Activation Function
Shreya Rao
Jun 11
ASA’s Caution: Rethinking How We Use p-Values in Research
ASA’s Caution: Rethinking How We Use p-Values in Research
Understanding the ASA’s statement to enhance your data science practices
Sheref Nasereldin, Ph.D.
Jun 11
MLOps — Data Validation with PyTest
MLOps — Data Validation with PyTest
Run deterministic and non-deterministic tests to validate your dataset
Marcello Politi
Jun 11
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