Intermediate Deep Learning with Transfer Learning
Getting started with Deep Learning is easy. You can have a neural network setup and training within just a few lines of code. But it can become overwhelming when you go from a beginner to an intermediate level. You are confronted with many new terms like- 25346Murphy2025-03-23
Making Your Data Analytics Come to Life using ipywidgets
Learn how to use widgets to dynamically update your data analytics- 26229Murphy2025-03-23
Model Selection with Imbalance Data: Only AUC may Not Save you
Are you Searching Parameters Efficiently?- 22448Murphy2025-03-23
Bridge the Gap Between Data and Humanity With the Power of This Python Library
Make your Python outputs more understandable to humans- 29206Murphy2025-03-23
How to Learn Geospatial Data Science in 2023
A step-by-step guide for those wanting to learn geospatial data analysis with Python- 27567Murphy2025-03-23
SQL Riddles to Test Your Wits
SQL is a deceptively simple language. Across its many dialects, users can query databases in a syntax similar to English. What you see is what you get… until you don’t. Every now and then I come across a query that produces a result completely- 23400Murphy2025-03-23
Can Weight Decay Work Without Residual Connections?
How do residual connections secretly fight overfitting?- 22650Murphy2025-03-23
Supercharge your cross-channel customer acquisition with marketing mix modeling
Offline marketing and sales channels are returning, and you need to adapt- 28929Murphy2025-03-23
Programming in 3D: My First Steps into Quantum Computing
A world of computing in multiple dimensions!- 27422Murphy2025-03-23
Awesome Data Science Tools to Master in 2023: Data Profiling Edition
5 Open Source Python Packages for EDA and Visualization- 24944Murphy2025-03-23
Test Data Pipelines the Fun and Easy Way
Beginners guide: Why unit and integration tests are so important for your data platform- 24919Murphy2025-03-23
Identification: The Key to Credible Causal Inference
Improve your causal IQ and build trust in your causal inference by mastering identification- 24728Murphy2025-03-23
Image Registration for Medical Datasets
From SimpleElastix to Spatial Transformer Networks- 24817Murphy2025-03-23
Understand & Implement Masked AutoRegressive Flow with TensorFlow
Flow-Based Models for Density Estimation with TensorFlow- 27699Murphy2025-03-23
CLIP: Creating Image Classifiers Without Data
A hands-on tutorial explaining how to generate a custom Zero-Shot image classifier without training, using a pre-trained CLIP model. Full...- 29012Murphy2025-03-23
The Bias-Variance Tradeoff
Understanding this famous concept and how it impacts Machine Learning models- 26266Murphy2025-03-23
Boost Machine Learning Model Performance through Effective Feature Engineering Techniques
Learn the right feature engineering techniques when applied to credit card fraud detection problem that improves the overall accuracy of...- 25286Murphy2025-03-23
Ensemble learning: Bagging and Boosting
It's time to explore the world of bagging and boosting. With these powerful techniques, you can improve the performance of your models...- 25019Murphy2025-03-23
Parsing Irregular Spreadsheet Tables in Humanitarian Datasets (with Some Help from GPT-3)
Processing Irregular Excel Tables Without Using Hard-coded Rules- 24439Murphy2025-03-23
Create a Python Package with Super- Fast Rust Code in 3 Steps
Extend you Python code with a package containing Rust code for a >150x performance increase!- 25131Murphy2025-03-23
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.