Courage to Learn ML: A Detailed Exploration of Gradient Descent and Popular Optimizers
Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate Checkpoint- 22811Murphy2025-03-22
Visualizing Everest Expeditions
An End-To-End Data Visualization Project- 23219Murphy2025-03-22
PyTorch Introduction – Enter NonLinear Functions
Continuing the PyTorch series, in this post we'll learn about activation functions in the context of PyTorch.- 20228Murphy2025-03-22
Declarative vs. Imperative Plotting
An overview for Python beginners- 25894Murphy2025-03-22
Knowledge-Enhanced Agents for Interactive Text Games
Revolutionizing Interactive Text Games with Knowledge-Enhanced AI Agents- 21975Murphy2025-03-22
Deploy Tiny-Llama on AWS EC2
Learn how to deploy a real ML application using AWS and FastAPI- 21084Murphy2025-03-22
LLMs and Transformers from Scratch: the Decoder
Exploring the Transformer's Decoder Architecture: Masked Multi-Head Attention, Encoder-Decoder Attention, and Practical Implementation- 21285Murphy2025-03-22
A Simple Trick to Do Your Data Analysis in Seconds
Uncover Hidden Insights using ydata-profiling- 23402Murphy2025-03-22
Particle Swarm Optimization
The most mesmerizing way of optimizing arbitrary functions- 21187Murphy2025-03-22
4 Functions to Know If You Are Planning to Switch from Pandas to Polars
Both Pandas and Polars code are included- 23776Murphy2025-03-22
Unleashing the Power of SQL Analytical Window Functions: A Deep Dive into Fusing IPv4 Blocks
How to summarize a geolocation table by merging contiguous network IPv4 blocks- 29335Murphy2025-03-22
Binary Classification
Unpacking the Real Significance and Limitations of Traditional Metrics- 29231Murphy2025-03-22
Building Your Model Is Not Enough – You Need To Sell It
5 Tips That Can Help Your Models Go Live In Production- 22938Murphy2025-03-22
Mini-Max Optimization Design of Generative Adversarial Networks (GAN)
Nested bi-level optimization and equilibrium seeking objective- 29613Murphy2025-03-22
Convolutional Layer- Building Block of CNNs
What convolutional layers are and how they enable deep learning for computer vision- 23458Murphy2025-03-22
January Is for Challenging Yourself to Learn New Skills
Our weekly selection of must-read Editors' Picks and original features- 27427Murphy2025-03-22
Exploring the Superhero Role of 2D Batch Normalization in Deep Learning Architectures
Internal working and intuitions are explained through simple examples- 28206Murphy2025-03-22
Navigating the World of LLM Agents: A Beginner's Guide
A Step-by-Step Guide to Discover and Harness the Power of LLM Agents and Toolkits- 21368Murphy2025-03-22
Build Machine Learning Pipelines with Airflow and Mlflow: Reservation Cancellation Forecasting
Learn how to create reproducible and ready-for-production Machine Learning pipelines through a Senior Machine Learning assignment- 28117Murphy2025-03-22
Write Cleaner, Consistent Code: Can ChatGPT and Autoformatters Help?
Refine hastily written code your future self will thank you for with ChatGPT and autoformatters.- 24373Murphy2025-03-22
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
Our weekly selection of must-read Editors' Picks and original features
